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# lslidar
## Description
The `lslidar package is a linux ROS2 driver for lslidar M10 ,M10_GPS,M10_P,M10_PLUS and N10.
The package is tested on Ubuntu 20.04 with ROS2 indigo.
## Compling
This is a Catkin package. Make sure the package is on `ROS_PACKAGE_PATH` after cloning the package to your workspace. And the normal procedure for compling a catkin package will work.
```
cd your_work_space
colcon build
source install/setup.bash
ros2 launch lslidar_driver lslidar_launch.py
```
open new terminal
ros2 topic pub -1 /lslidar_order std_msgs/msg/Int8 data:\ 1\ (open radar)
ros2 topic pub -1 /lslidar_order std_msgs/msg/Int8 data:\ 0\ (close radar)
ros2 launch lslidar_driver lslidar_launch.py
```
Note that this launch file launches both the driver, which is the only launch file needed to be used.
## FAQ
## Bug Report
Prefer to open an issue. You can also send an E-mail to honghangli@lslidar.com
RERTION

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@@ -0,0 +1,56 @@
cmake_minimum_required(VERSION 3.5)
project(lslidar_driver)
# Default to C++14
if(NOT CMAKE_CXX_STANDARD)
set(CMAKE_CXX_STANDARD 14)
endif()
if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
add_compile_options(-Wall -Wextra -Wpedantic)
endif()
set(libpcap_LIBRARIES -lpcap)
#set(FastRTPS_INCLUDE_DIR /opt/ros/foxy/include)
#set(FastRTPS_LIBRARY_RELEASE /opt/ros/foxy/lib/libfastrtps.so)
#find_package(Boost REQUIRED COMPONENTS )
find_package(Boost REQUIRED thread)
find_package(rclcpp REQUIRED)
find_package(PCL REQUIRED)
find_package(diagnostic_updater REQUIRED)
find_package(lslidar_msgs REQUIRED)
find_package(std_msgs REQUIRED)
find_package(ament_cmake REQUIRED)
find_package(pluginlib REQUIRED)
find_package(rclpy REQUIRED)
find_package(pcl_conversions REQUIRED)
find_package(sensor_msgs REQUIRED)
#find_package(PCL REQUIRED COMPONENTS common io)
include_directories(
include
${PCL_INCLUDE_DIRS}
${PCL_COMMON_INCLUDE_DIRS}
${Boost_INCLUDE_DIRS}
)
# Node
add_executable(lslidar_driver_node src/lslidar_driver_node.cc src/lslidar_driver.cc src/input.cc src/lsiosr.cpp)
target_link_libraries(lslidar_driver_node ${rclcpp_LIBRARIES} ${libpcap_LIBRARIES} ${Boost_LIBRARIES} Boost::thread)
ament_target_dependencies(lslidar_driver_node rclcpp std_msgs lslidar_msgs sensor_msgs diagnostic_updater pcl_conversions)
install(DIRECTORY launch params rviz
DESTINATION share/${PROJECT_NAME})
install(TARGETS
lslidar_driver_node
DESTINATION lib/${PROJECT_NAME}
)
ament_export_dependencies(rclcpp pluginlib lslidar_msgs sensor_msgs pcl_conversions)
ament_export_include_directories(include ${PCL_COMMON_INCLUDE_DIRS})
ament_package()

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@@ -0,0 +1,134 @@
/*
* This file is part of lslidar_ch driver.
*
* The driver is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* The driver is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with the driver. If not, see <http://www.gnu.org/licenses/>.
*
* Input -- base class used to access the data independently of
* its source
*
* InputSocket -- derived class reads live data from the device
* via a UDP socket
*
* InputPCAP -- derived class provides a similar interface from a
* PCAP dump
*/
#ifndef __LSLIDAR_INPUT_H_
#define __LSLIDAR_INPUT_H_
#include <unistd.h>
#include <stdio.h>
#include <pcap.h>
#include <netinet/in.h>
#include "rclcpp/rclcpp.hpp"
#include <lslidar_msgs/msg/lslidar_packet.hpp>
#include <string>
#include <sstream>
#include <sys/socket.h>
#include <arpa/inet.h>
#include <poll.h>
#include <errno.h>
#include <fcntl.h>
#include <sys/file.h>
#include <signal.h>
#include <sensor_msgs/msg/time_reference.hpp>
#include <std_msgs/msg/int8.hpp>
#include <cmath>
namespace lslidar_driver
{
static uint16_t MSOP_DATA_PORT_NUMBER = 2368; // lslidar default data port on PC
/**
* 从在线的网络数据或离线的网络抓包数据pcap文件中提取出lidar的原始数据即packet数据包
* @brief The Input class,
*
* @param private_nh 一个NodeHandled,用于通过节点传递参数
* @param port
* @returns 0 if successful,
* -1 if end of file
* >0 if incomplete packet (is this possible?)
*/
class Input
{
public:
Input(rclcpp::Node* private_nh, uint16_t port);
virtual ~Input()
{
}
virtual int getPacket(lslidar_msgs::msg::LslidarPacket::UniquePtr &packet) = 0;
int getRpm(void);
int getReturnMode(void);
bool getUpdateFlag(void);
void clearUpdateFlag(void);
void UDP_order(const std_msgs::msg::Int8 msg);
void UDP_difop();
protected:
rclcpp::Node* private_nh_;
uint16_t port_;
std::string devip_str_;
std::string lidar_name;
int cur_rpm_;
int return_mode_;
bool npkt_update_flag_;
bool add_multicast;
std::string group_ip;
int UDP_PORT_NUMBER_DIFOP;
int socket_id_difop;
int sockfd_;
std::string devip_str_difop;
};
/** @brief Live lslidar input from socket. */
class InputSocket : public Input
{
public:
InputSocket(rclcpp::Node* private_nh, uint16_t port = MSOP_DATA_PORT_NUMBER);
virtual ~InputSocket();
virtual int getPacket(lslidar_msgs::msg::LslidarPacket::UniquePtr &packet);
private:
private:
in_addr devip_;
in_addr devip_difop;
//struct ip_mreq group;
};
class InputPCAP : public Input
{
public:
InputPCAP(rclcpp::Node* private_nh,uint16_t port = MSOP_DATA_PORT_NUMBER, double packet_rate = 0.0,
std::string filename="");
virtual ~InputPCAP();
virtual int getPacket(lslidar_msgs::msg::LslidarPacket::UniquePtr &pkt);
private:
rclcpp::Rate packet_rate_;
std::string filename_;
pcap_t *pcap_;
bpf_program pcap_packet_filter_;
char errbuf_[PCAP_ERRBUF_SIZE];
bool empty_;
bool read_once_;
bool read_fast_;
double repeat_delay_;
};
}
#endif // __LSLIDAR_INPUT_H

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@@ -0,0 +1,88 @@
/*******************************************************
@company: Copyright (C) 2021, Leishen Intelligent System
@product: LSM10_N10
@filename: lsiosr.cpp
@brief:
@version: date: author: comments:
@v1.0 22-10-24 li new
*******************************************************/
#ifndef LSIOSR_H
#define LSIOSR_H
#include <sys/types.h>
#include <sys/stat.h>
#include <fcntl.h>
#include <termios.h>
#include <errno.h>
#include <unistd.h>
#include <string.h>
#include <stdlib.h>
#include <unistd.h>
#include <stdint.h>
#include <fstream>
#include <iostream>
//波特率
#define BAUD_230400 230400
#define BAUD_460800 460800
#define BAUD_500000 500000
#define BAUD_921600 921600
//奇偶校验位
#define PARITY_ODD 'O' //奇数
#define PARITY_EVEN 'E' //偶数
#define PARITY_NONE 'N' //无奇偶校验位
//停止位
#define STOP_BIT_1 1
#define STOP_BIT_2 2
//数据位
#define DATA_BIT_7 7
#define DATA_BIT_8 8
namespace lslidar_driver
{
class LSIOSR{
public:
static LSIOSR* instance(std::string name, int speed, int fd = 0);
~LSIOSR();
/* 从串口中读取数据 */
int read(unsigned char *buffer, int length, int timeout = 30);
/* 向串口传数据 */
int send(const char* buffer, int length, int timeout = 30);
/* Empty serial port input buffer */
void flushinput();
/* 串口初始化 */
int init();
int close();
/* 获取串口号 */
std::string getPort();
/* 设置串口号 */
int setPortName(std::string name);
private:
LSIOSR(std::string name, int speed, int fd);
int waitWritable(int millis);
int waitReadable(int millis);
/* 串口配置的函数 */
int setOpt(int nBits, uint8_t nEvent, int nStop);
std::string port_;
int baud_rate_;
int fd_;
};
}
#endif

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@@ -0,0 +1,159 @@
/*
* This file is part of lslidar driver.
*
* The driver is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* The driver is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with the driver. If not, see <http://www.gnu.org/licenses/>.
*/
#ifndef LSLIDAR_DRIVER_H
#define LSLIDAR_DRIVER_H
#include <unistd.h>
#include <stdio.h>
#include <netinet/in.h>
#include <string>
#include <boost/shared_ptr.hpp>
#include <boost/date_time/posix_time/posix_time.hpp>
#include <boost/thread.hpp>
#include "rclcpp/rclcpp.hpp"
#include <thread>
#include "diagnostic_updater/diagnostic_updater.hpp"
#include "diagnostic_updater/publisher.hpp"
#include "lslidar_msgs/msg/lslidar_packet.hpp"
#include "std_msgs/msg/byte.hpp"
#include "sensor_msgs/msg/point_cloud2.hpp"
#include "pcl_conversions/pcl_conversions.h"
#include "pcl/point_types.h"
#include "time.h"
#include "input.h"
#include "lsiosr.h"
#include "sensor_msgs/msg/laser_scan.hpp"
namespace lslidar_driver {
struct PointXYZIT {
PCL_ADD_POINT4D;
uint8_t intensity;
double timestamp;
EIGEN_MAKE_ALIGNED_OPERATOR_NEW // make sure our new allocators are aligned
} EIGEN_ALIGN16;
typedef struct {
double degree;
double range;
double intensity;
} ScanPoint;
class LslidarDriver: public rclcpp::Node {
public:
LslidarDriver();
LslidarDriver(const rclcpp::NodeOptions& options);
~LslidarDriver();
bool initialize();
bool polling();
typedef std::shared_ptr<LslidarDriver> LslidarDriverPtr;
typedef std::shared_ptr<const LslidarDriver> LslidarDriverConstPtr;
private:
uint64_t get_gps_stamp(struct tm t);
uint8_t N10_CalCRC8(unsigned char * p, int len);
bool loadParameters();
bool createRosIO();
void open_serial();
void lidar_difop();
void lidar_order(const std_msgs::msg::Int8::SharedPtr msg);
void data_processing(unsigned char *packet_bytes,int len);
void data_processing_2(unsigned char *packet_bytes,int len);
void difop_processing(unsigned char *packet_bytes);
void pubScanThread();
void recvThread_crc(int &count,int &link_time);
int receive_data(unsigned char *packet_bytes);
int getScan(std::vector<ScanPoint> &points, rclcpp::Time &scan_time, float &scan_duration);
boost::thread *pubscan_thread_ ;
boost::shared_ptr<Input> msop_input_;
boost::mutex mutex_;
boost::mutex pubscan_mutex_;
boost::condition_variable pubscan_cond_;
int UDP_PORT_NUMBER;
int count_num;
int package_points;
int data_bits_start;
int degree_bits_start;
int end_degree_bits_start;
int rpm_bits_start;
int baud_rate_;
int points_size_;
int idx = 0;
int link_time = 0;
int fixed_array_length;//cyy_add
bool use_gps_ts;
bool is_start;
bool high_reflection;
bool compensation;
bool first_compensation = true;
bool pubScan;
bool pubPointCloud2;
double min_range;
double max_range;
double angle_disable_min;
double angle_disable_max;
double angle_able_min;
double angle_able_max;
double last_degree = 0.0;
double degree_compensation = 0.0;
uint16_t PACKET_SIZE ;
uint64_t sweep_end_time_gps;
uint64_t sweep_end_time_hardware;
uint64_t sub_second;
std::string frame_id;
std::string interface_selection;
std::string scan_topic;
std::string lidar_name;
std::string serial_port_;
std::string dump_file;
std::string pointcloud_topic;
std::string in_file_name;
tm pTime;
rclcpp::Time pre_time_;
rclcpp::Time time_;
std::vector<ScanPoint> scan_points_;
std::vector<ScanPoint> scan_points_bak_;
// Diagnostics updater
diagnostic_updater::Updater diagnostics;
std::shared_ptr<diagnostic_updater::TopicDiagnostic> diag_topic;
double diag_min_freq;
double diag_max_freq;
rclcpp::Publisher<sensor_msgs::msg::LaserScan>::SharedPtr scan_pub;
rclcpp::Publisher<sensor_msgs::msg::PointCloud2>::SharedPtr point_cloud_pub;
rclcpp::Subscription<std_msgs::msg::Int8>::SharedPtr difop_switch;
LSIOSR * serial_;
};
typedef PointXYZIT VPoint;
typedef pcl::PointCloud<VPoint> VPointCloud;
} // namespace lslidar_driver
POINT_CLOUD_REGISTER_POINT_STRUCT(lslidar_driver::PointXYZIT,
(float, x, x)(float, y, y)(float, z, z)(
std::uint8_t, intensity,
intensity)(double, timestamp, timestamp))
#endif // _LSLIDAR_DRIVER_H_

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@@ -0,0 +1,50 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
driver_dir_1 = os.path.join(get_package_share_directory('lslidar_driver_n10p'), 'params', 'lsx10_1.yaml')
driver_dir_2 = os.path.join(get_package_share_directory('lslidar_driver_n10p'), 'params', 'lsx10_2.yaml')
driver_node_1 = LifecycleNode(package='lslidar_driver_n10p',
executable='lslidar_driver_node',
name='lslidar_driver_node', #设置激光数据topic名称
output='screen',
emulate_tty=True,
namespace='lidar_1',
parameters=[driver_dir_1],
)
driver_node_2 = LifecycleNode(package='lslidar_driver_n10p',
executable='lslidar_driver_node',
name='lslidar_driver_node', #设置激光数据topic名称
output='screen',
emulate_tty=True,
namespace='lidar_2',
parameters=[driver_dir_2],
)
rviz_dir = os.path.join(get_package_share_directory('lslidar_driver'), 'rviz', 'lslidar.rviz')
rviz_node = Node(
package='rviz2',
namespace='',
executable='rviz2',
name='rviz2',
arguments=['-d', rviz_dir],
output='screen')
return LaunchDescription([
driver_node_1,
driver_node_2,
rviz_node,
])

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@@ -0,0 +1,27 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
driver_dir = os.path.join(get_package_share_directory('lslidar_driver'), 'params', 'lidar_net_ros2','lsm10_net.yaml')
driver_node = LifecycleNode(package='lslidar_driver',
executable='lslidar_driver_node',
name='lslidar_driver_node',
output='screen',
emulate_tty=True,
namespace='',
parameters=[driver_dir],
)
return LaunchDescription([
driver_node,
])

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@@ -0,0 +1,27 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
driver_dir = os.path.join(get_package_share_directory('lslidar_driver'), 'params', 'lidar_uart_ros2','lsm10.yaml')
driver_node = LifecycleNode(package='lslidar_driver',
executable='lslidar_driver_node',
name='lslidar_driver_node',
output='screen',
emulate_tty=True,
namespace='',
parameters=[driver_dir],
)
return LaunchDescription([
driver_node,
])

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@@ -0,0 +1,27 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
driver_dir = os.path.join(get_package_share_directory('lslidar_driver'), 'params', 'lidar_net_ros2','lsm10p_net.yaml')
driver_node = LifecycleNode(package='lslidar_driver',
executable='lslidar_driver_node',
name='lslidar_driver_node',
output='screen',
emulate_tty=True,
namespace='',
parameters=[driver_dir],
)
return LaunchDescription([
driver_node,
])

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@@ -0,0 +1,27 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
driver_dir = os.path.join(get_package_share_directory('lslidar_driver'), 'params', 'lidar_uart_ros2','lsm10_p.yaml')
driver_node = LifecycleNode(package='lslidar_driver',
executable='lslidar_driver_node',
name='lslidar_driver_node',
output='screen',
emulate_tty=True,
namespace='',
parameters=[driver_dir],
)
return LaunchDescription([
driver_node,
])

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@@ -0,0 +1,28 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
driver_dir = os.path.join(get_package_share_directory('lslidar_driver'), 'params','lidar_uart_ros2', 'lsn10.yaml')
driver_node = LifecycleNode(package='lslidar_driver',
executable='lslidar_driver_node',
name='lslidar_driver_node', #设置激光数据topic名称
output='screen',
emulate_tty=True,
namespace='',
parameters=[driver_dir],
)
return LaunchDescription([
driver_node,
])

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@@ -0,0 +1,28 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
driver_dir = os.path.join(get_package_share_directory('lslidar_driver'), 'params','lidar_net_ros2', 'lsn10_net.yaml')
driver_node = LifecycleNode(package='lslidar_driver',
executable='lslidar_driver_node',
name='lslidar_driver_node', #设置激光数据topic名称
output='screen',
emulate_tty=True,
namespace='',
parameters=[driver_dir],
)
return LaunchDescription([
driver_node,
])

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@@ -0,0 +1,28 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
driver_dir = os.path.join(get_package_share_directory('lslidar_driver'), 'params','lidar_uart_ros2', 'lsn10p.yaml')
driver_node = LifecycleNode(package='lslidar_driver',
executable='lslidar_driver_node',
name='lslidar_driver_node', #设置激光数据topic名称
output='screen',
emulate_tty=True,
namespace='',
parameters=[driver_dir],
)
return LaunchDescription([
driver_node,
])

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@@ -0,0 +1,28 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
driver_dir = os.path.join(get_package_share_directory('lslidar_driver'), 'params','lidar_net_ros2', 'lsn10p_net.yaml')
driver_node = LifecycleNode(package='lslidar_driver',
executable='lslidar_driver_node',
name='lslidar_driver_node', #设置激光数据topic名称
output='screen',
emulate_tty=True,
namespace='',
parameters=[driver_dir],
)
return LaunchDescription([
driver_node,
])

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@@ -0,0 +1,26 @@
#!/usr/bin/python3
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import LifecycleNode
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
from launch.actions import DeclareLaunchArgument
import lifecycle_msgs.msg
import os
def generate_launch_description():
rviz2_config = os.path.join(get_package_share_directory('lslidar_driver'),'rviz','lslidar.rviz')
rviz2_node = Node(
package='rviz2',
executable='rviz2',
name='rviz2',
arguments=['-d',rviz2_config],
output='screen')
return LaunchDescription([
rviz2_node,
])

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@@ -0,0 +1,36 @@
<?xml version="1.0"?>
<package format="2">
<name>lslidar_driver</name>
<version>1.2.0</version>
<description>ROS device driver for Leishen lidar.</description>
<maintainer email="shaohuashu@lslidar.com">Nick Shu</maintainer>
<author>Nick Shu</author>
<license>GNU General Public License V3.0</license>
<buildtool_depend>ament_cmake</buildtool_depend>
<build_depend>rclcpp</build_depend>
<build_depend>std_msgs</build_depend>
<build_depend>lslidar_msgs</build_depend>
<build_depend>pcl_conversions</build_depend>
<build_depend>rclpy</build_depend>
<build_depend>libpcap</build_depend>
<build_depend>libpcl-all-dev</build_depend>
<build_depend>pluginlib</build_depend>
<build_depend>sensor_msgs</build_depend>
<exec_depend>rclcpp</exec_depend>
<exec_depend>std_msgs</exec_depend>
<exec_depend>lslidar_msgs</exec_depend>
<exec_depend>pcl_conversions</exec_depend>
<exec_depend>rclpy</exec_depend>
<exec_depend>libpcap</exec_depend>
<exec_depend>libpcl-all</exec_depend>
<exec_depend>pluginlib</exec_depend>
<exec_depend>sensor_msgs</exec_depend>
<depend>diagnostic_updater</depend>
<export>
<build_type>ament_cmake</build_type>
</export>
</package>

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@@ -0,0 +1,22 @@
/lslidar_driver_node:
ros__parameters:
frame_id: laser #激光坐标
group_ip: 224.1.1.2
add_multicast: false
device_ip: 192.168.1.200 #雷达目的ip
device_ip_difop: 192.168.1.102 #雷达源IP
msop_port: 2368 #雷达目的端口号
difop_port: 2369 #雷达源端口号
lidar_name: M10 #雷达选择:M10 M10_P M10_PLUS M10_GPS N10
ceil_increase: -1 #Lsm10*时改值应设置为-1
angle_disable_min: 0.0 #单角度裁剪开始值
angle_disable_max: 0.0 #单角度裁剪结束值
truncated_mode_: 0 #多角度裁剪开关值为0时表示不使用多角度裁剪默认为0
#值为1表示使用多角度裁剪同时angle_disable_min与angle_disable_max设为 0角度值在/lslidar_driver.cc中修改
min_range: 0.0 #雷达接收距离最小值
max_range: 200.0 #雷达接收距离最大值
use_gps_ts: false #雷达是否使用GPS授时
scan_topic: /scan #设置激光数据topic名称
interface_selection: net #接口选择:net 为网口,serial 为串口。
serial_port_: /dev/wheeltec_laser #串口连接时的串口号
# pcap: /home/ls/work/2211/M10_P_gps.pcap #雷达是否使用pcap包读取功能

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/lslidar_driver_node:
ros__parameters:
frame_id: laser #激光坐标
group_ip: 224.1.1.2
add_multicast: false
device_ip: 192.168.1.200 #雷达目的ip
device_ip_difop: 192.168.1.102 #雷达源IP
msop_port: 2368 #雷达目的端口号
difop_port: 2369 #雷达源端口号
lidar_name: M10_P #雷达选择:M10 M10_P M10_PLUS M10_GPS N10
ceil_increase: -1 #Lsm10*时改值应设置为-1
angle_disable_min: 0.0 #单角度裁剪开始值
angle_disable_max: 0.0 #单角度裁剪结束值
truncated_mode_: 0 #多角度裁剪开关值为0时表示不使用多角度裁剪默认为0
#值为1表示使用多角度裁剪同时angle_disable_min与angle_disable_max设为 0角度值在/lslidar_driver.cc中修改
min_range: 0.0 #雷达接收距离最小值
max_range: 200.0 #雷达接收距离最大值
use_gps_ts: false #雷达是否使用GPS授时
scan_topic: /scan #设置激光数据topic名称
interface_selection: net #接口选择:net 为网口,serial 为串口。
serial_port_: /dev/wheeltec_laser #串口连接时的串口号
# pcap: /home/ls/work/2211/M10_P_gps.pcap #雷达是否使用pcap包读取功能

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/lslidar_driver_node:
ros__parameters:
frame_id: laser #激光坐标
group_ip: 224.1.1.2
add_multicast: false
device_ip: 192.168.1.200 #雷达源IP
device_ip_difop: 192.168.1.102 #雷达目的ip
msop_port: 2368 #雷达目的端口号
difop_port: 2369 #雷达源端口号
lidar_name: N10 #雷达选择:M10 M10_P M10_PLUS M10_GPS N10 L10 N10_P
angle_disable_min: 0.0 #角度裁剪开始值
angle_disable_max: 0.0 #角度裁剪结束值
min_range: 0.2 #雷达接收距离最小值
max_range: 200.0 #雷达接收距离最大值
use_gps_ts: false #雷达是否使用GPS授时
scan_topic: /scan #设置激光数据topic名称
interface_selection: net #接口选择:net 为网口,serial 为串口。
serial_port_: /dev/wheeltec_laser #串口连接时的串口号
high_reflection: false #M10_P雷达需填写该值,若不确定,请联系技术支持。
compensation: false #M10系列是否使用角度补偿功能
pubScan: true #是否发布scan话题
pubPointCloud2: false #是否发布pointcloud2话题
pointcloud_topic: /lslidar_point_cloud #设置激光数据topic名称
# pcap: /home/ls/1.pcap #雷达是否使用pcap包读取功能
# in_file_name: /home/ls/1.txt #雷达是否使用txt文件读取功能

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/lslidar_driver_node:
ros__parameters:
frame_id: laser #激光坐标
group_ip: 224.1.1.2
add_multicast: false
device_ip: 192.168.1.200 #雷达源IP
device_ip_difop: 192.168.1.102 #雷达目的ip
msop_port: 2368 #雷达目的端口号
difop_port: 2369 #雷达源端口号
lidar_name: N10_P #雷达选择:M10 M10_P M10_PLUS M10_GPS N10 L10 N10_P
angle_disable_min: 120.0 #角度裁剪开始值
angle_disable_max: 230.0 #角度裁剪结束值
min_range: 0.2 #雷达接收距离最小值
max_range: 200.0 #雷达接收距离最大值
use_gps_ts: false #雷达是否使用GPS授时
scan_topic: /scan #设置激光数据topic名称
interface_selection: net #接口选择:net 为网口,serial 为串口。
serial_port_: /dev/wheeltec_laser #串口连接时的串口号
high_reflection: false #M10_P雷达需填写该值,若不确定,请联系技术支持。
compensation: false #M10系列是否使用角度补偿功能
pubScan: true #是否发布scan话题
pubPointCloud2: false #是否发布pointcloud2话题
pointcloud_topic: /lslidar_point_cloud #设置激光数据topic名称
# pcap: /home/ls/1.pcap #雷达是否使用pcap包读取功能
# in_file_name: /home/ls/1.txt #雷达是否使用txt文件读取功能

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/lslidar_driver_node:
ros__parameters:
frame_id: laser #激光坐标
group_ip: 224.1.1.2
add_multicast: false
device_ip: 192.168.1.200 #雷达目的ip
device_ip_difop: 192.168.1.102 #雷达源IP
msop_port: 2368 #雷达目的端口号
difop_port: 2369 #雷达源端口号
lidar_name: M10 #雷达选择:M10 M10_P M10_PLUS M10_GPS N10
ceil_increase: -1 #Lsm10*时改值应设置为-1
angle_disable_min: 0.0 #单角度裁剪开始值
angle_disable_max: 0.0 #单角度裁剪结束值
truncated_mode_: 0 #多角度裁剪开关值为0时表示不使用多角度裁剪默认为0
#值为1表示使用多角度裁剪同时angle_disable_min与angle_disable_max设为 0角度值在/lslidar_driver.cc中修改
min_range: 0.0 #雷达接收距离最小值
max_range: 200.0 #雷达接收距离最大值
use_gps_ts: false #雷达是否使用GPS授时
scan_topic: /scan #设置激光数据topic名称
interface_selection: serial #接口选择:net 为网口,serial 为串口。
serial_port_: /dev/wheeltec_laser #串口连接时的串口号
high_reflection: false #M10_P雷达需填写该值,若不确定,请联系技术支持。
compensation: false #M10系列是否使用角度补偿功能
pubScan: true #是否发布scan话题
pubPointCloud2: false #是否发布pointcloud2话题
pointcloud_topic: /lslidar_point_cloud #设置激光数据topic名称
# pcap: /home/ls/1.pcap #雷达是否使用pcap包读取功能
# in_file_name: /home/ls/1.txt #雷达是否使用txt文件读取功能

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/lslidar_driver_node:
ros__parameters:
frame_id: laser #激光坐标
group_ip: 224.1.1.2
add_multicast: false
device_ip: 192.168.1.200 #雷达目的ip
device_ip_difop: 192.168.1.102 #雷达源IP
msop_port: 2368 #雷达目的端口号
difop_port: 2369 #雷达源端口号
lidar_name: M10_P #雷达选择:M10 M10_P M10_PLUS M10_GPS N10
ceil_increase: -1 #Lsm10*时改值应设置为-1
angle_disable_min: 0.0 #单角度裁剪开始值
angle_disable_max: 0.0 #单角度裁剪结束值
truncated_mode_: 0 #多角度裁剪开关值为0时表示不使用多角度裁剪默认为0
#值为1表示使用多角度裁剪同时angle_disable_min与angle_disable_max设为 0角度值在/lslidar_driver.cc中修改
min_range: 0.0 #雷达接收距离最小值
max_range: 200.0 #雷达接收距离最大值
use_gps_ts: false #雷达是否使用GPS授时
scan_topic: /scan #设置激光数据topic名称
interface_selection: serial #接口选择:net 为网口,serial 为串口。
serial_port_: /dev/wheeltec_laser #串口连接时的串口号
high_reflection: false #M10_P雷达需填写该值,若不确定,请联系技术支持。
compensation: false #M10系列是否使用角度补偿功能
pubScan: true #是否发布scan话题
pubPointCloud2: false #是否发布pointcloud2话题
pointcloud_topic: /lslidar_point_cloud #设置激光数据topic名称
# pcap: /home/ls/1.pcap #雷达是否使用pcap包读取功能
# in_file_name: /home/ls/1.txt #雷达是否使用txt文件读取功能

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/lslidar_driver_node:
ros__parameters:
frame_id: laser_link #激光坐标
group_ip: 224.1.1.2
add_multicast: false
device_ip: 192.168.1.200 #雷达源IP
device_ip_difop: 192.168.1.102 #雷达目的ip
msop_port: 2368 #雷达目的端口号
difop_port: 2369 #雷达源端口号
lidar_name: N10 #雷达选择:M10 M10_P M10_PLUS M10_GPS N10 L10 N10_P
angle_disable_min: 0.0 #角度裁剪开始值
angle_disable_max: 0.0 #角度裁剪结束值
min_range: 0.15 #雷达接收距离最小值
max_range: 200.0 #雷达接收距离最大值
use_gps_ts: false #雷达是否使用GPS授时
scan_topic: /scan #设置激光数据topic名称
interface_selection: serial #接口选择:net 为网口,serial 为串口。
serial_port_: /dev/ttyCH343USB0 #串口连接时的串口号
high_reflection: false #M10_P雷达需填写该值,若不确定,请联系技术支持。
compensation: false #M10系列是否使用角度补偿功能
pubScan: true #是否发布scan话题
pubPointCloud2: false #是否发布pointcloud2话题
pointcloud_topic: /lslidar_point_cloud #设置激光数据topic名称
fixed_array_length: 450
# pcap: /home/ls/1.pcap #雷达是否使用pcap包读取功能
# in_file_name: /home/ls/1.txt #雷达是否使用txt文件读取功能

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/lslidar_driver_node:
ros__parameters:
frame_id: laser #激光坐标
group_ip: 224.1.1.2
add_multicast: false
device_ip: 192.168.1.200 #雷达源IP
device_ip_difop: 192.168.1.102 #雷达目的ip
msop_port: 2368 #雷达目的端口号
difop_port: 2369 #雷达源端口号
lidar_name: N10_P #雷达选择:M10 M10_P M10_PLUS M10_GPS N10 L10 N10_P
angle_disable_min: 120.0 #角度裁剪开始值
angle_disable_max: 230.0 #角度裁剪结束值
min_range: 0.2 #雷达接收距离最小值
max_range: 200.0 #雷达接收距离最大值
use_gps_ts: false #雷达是否使用GPS授时
scan_topic: /scan #设置激光数据topic名称
interface_selection: serial #接口选择:net 为网口,serial 为串口。
serial_port_: /dev/wheeltec_laser #串口连接时的串口号
high_reflection: false #M10_P雷达需填写该值,若不确定,请联系技术支持。
compensation: false #M10系列是否使用角度补偿功能
pubScan: true #是否发布scan话题
pubPointCloud2: false #是否发布pointcloud2话题
pointcloud_topic: /lslidar_point_cloud #设置激光数据topic名称
# pcap: /home/ls/1.pcap #雷达是否使用pcap包读取功能
# in_file_name: /home/ls/1.txt #雷达是否使用txt文件读取功能

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Panels:
- Class: rviz_common/Displays
Help Height: 78
Name: Displays
Property Tree Widget:
Expanded:
- /Global Options1
- /Status1
- /LaserScan1
Splitter Ratio: 0.3441176414489746
Tree Height: 617
- Class: rviz_common/Selection
Name: Selection
- Class: rviz_common/Tool Properties
Expanded:
- /2D Goal Pose1
- /Publish Point1
Name: Tool Properties
Splitter Ratio: 0.5886790156364441
- Class: rviz_common/Views
Expanded:
- /Current View1
Name: Views
Splitter Ratio: 0.5
Visualization Manager:
Class: ""
Displays:
- Alpha: 0.5
Cell Size: 1
Class: rviz_default_plugins/Grid
Color: 160; 160; 164
Enabled: true
Line Style:
Line Width: 0.029999999329447746
Value: Lines
Name: Grid
Normal Cell Count: 0
Offset:
X: 0
Y: 0
Z: 0
Plane: XY
Plane Cell Count: 10
Reference Frame: <Fixed Frame>
Value: true
- Alpha: 1
Autocompute Intensity Bounds: true
Autocompute Value Bounds:
Max Value: 10
Min Value: -10
Value: true
Axis: Z
Channel Name: intensity
Class: rviz_default_plugins/LaserScan
Color: 255; 255; 255
Color Transformer: Intensity
Decay Time: 0
Enabled: true
Invert Rainbow: false
Max Color: 255; 255; 255
Max Intensity: 0
Min Color: 0; 0; 0
Min Intensity: 0
Name: LaserScan
Position Transformer: XYZ
Selectable: true
Size (Pixels): 3
Size (m): 0.009999999776482582
Style: Flat Squares
Topic:
Depth: 5
Durability Policy: Volatile
Filter size: 10
History Policy: Keep Last
Reliability Policy: Reliable
Value: scan
Use Fixed Frame: true
Use rainbow: true
Value: true
Enabled: true
Global Options:
Background Color: 48; 48; 48
Fixed Frame: laser
Frame Rate: 30
Name: root
Tools:
- Class: rviz_default_plugins/Interact
Hide Inactive Objects: true
- Class: rviz_default_plugins/MoveCamera
- Class: rviz_default_plugins/Select
- Class: rviz_default_plugins/FocusCamera
- Class: rviz_default_plugins/Measure
Line color: 128; 128; 0
- Class: rviz_default_plugins/SetInitialPose
Covariance x: 0.25
Covariance y: 0.25
Covariance yaw: 0.06853891909122467
Topic:
Depth: 5
Durability Policy: Volatile
History Policy: Keep Last
Reliability Policy: Reliable
Value: /initialpose
- Class: rviz_default_plugins/SetGoal
Topic:
Depth: 5
Durability Policy: Volatile
History Policy: Keep Last
Reliability Policy: Reliable
Value: /goal_pose
- Class: rviz_default_plugins/PublishPoint
Single click: true
Topic:
Depth: 5
Durability Policy: Volatile
History Policy: Keep Last
Reliability Policy: Reliable
Value: /clicked_point
Transformation:
Current:
Class: rviz_default_plugins/TF
Value: true
Views:
Current:
Class: rviz_default_plugins/Orbit
Distance: 3.635173797607422
Enable Stereo Rendering:
Stereo Eye Separation: 0.05999999865889549
Stereo Focal Distance: 1
Swap Stereo Eyes: false
Value: false
Focal Point:
X: 0
Y: 0
Z: 0
Focal Shape Fixed Size: true
Focal Shape Size: 0.05000000074505806
Invert Z Axis: false
Name: Current View
Near Clip Distance: 0.009999999776482582
Pitch: 0.8653978705406189
Target Frame: <Fixed Frame>
Value: Orbit (rviz)
Yaw: 3.095397710800171
Saved: ~
Window Geometry:
Displays:
collapsed: false
Height: 846
Hide Left Dock: false
Hide Right Dock: false
QMainWindow State: 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
Selection:
collapsed: false
Tool Properties:
collapsed: false
Views:
collapsed: false
Width: 1283
X: 406
Y: 152

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#include "lslidar_driver/input.h"
extern volatile sig_atomic_t flag;
namespace lslidar_driver
{
static const size_t packet_size_input = 400;
////////////////////////////////////////////////////////////////////////
// Input base class implementation
////////////////////////////////////////////////////////////////////////
/** @brief constructor
*
* @param private_nh ROS private handle for calling node.
* @param port UDP port number.
*/
Input::Input(rclcpp::Node *private_nh, uint16_t port) : private_nh_(private_nh), port_(port) {
npkt_update_flag_ = false;
cur_rpm_ = 0;
return_mode_ = 1;
devip_str_difop = std::string("192.168.1.200");
devip_str_ = std::string("192.168.1.102");
lidar_name = std::string("M10");
add_multicast = false;
group_ip = std::string("224.1.1.2");
UDP_PORT_NUMBER_DIFOP = 2369;
private_nh->declare_parameter<std::string>("device_ip","192.168.1.102");
private_nh->declare_parameter<std::string>("device_ip_difop","192.168.1.200");
private_nh->declare_parameter<bool>("add_multicast",false);
private_nh->declare_parameter<std::string>("group_ip","224.1.1.2");
private_nh->declare_parameter<int>("difop_port",2369);
private_nh->get_parameter("lidar_name", lidar_name);
private_nh->get_parameter("device_ip", devip_str_);
private_nh->get_parameter("add_multicast", add_multicast);
private_nh->get_parameter("group_ip", group_ip);
private_nh->get_parameter("difop_port", UDP_PORT_NUMBER_DIFOP);
private_nh->get_parameter("device_ip_difop", devip_str_difop);
if (!devip_str_.empty())
RCLCPP_INFO(private_nh->get_logger(), "[driver][input] accepting packets from IP address: %s port: %d",
devip_str_.c_str(),port);
}
/** @brief constructor
*
* @param private_nh ROS private handle for calling node.
* @param port UDP port number
*/
InputSocket::InputSocket(rclcpp::Node *private_nh, uint16_t port) : Input(private_nh, port) {
sockfd_ = -1;
if (!devip_str_.empty()) {
inet_aton(devip_str_.c_str(), &devip_);
inet_aton(devip_str_difop.c_str(), &devip_difop);
}
RCLCPP_INFO(private_nh_->get_logger(), "[driver][socket] Opening UDP socket: port %d", port);
sockfd_ = socket(PF_INET, SOCK_DGRAM, 0);
if (sockfd_ == -1) {
perror("socket"); // TODO: ROS_ERROR errno
return;
}
int opt = 1;
if (setsockopt(sockfd_, SOL_SOCKET, SO_REUSEADDR, (const void *) &opt, sizeof(opt))) {
perror("setsockopt error!\n");
return;
}
sockaddr_in my_addr; // my address information
memset(&my_addr, 0, sizeof(my_addr)); // initialize to zeros
my_addr.sin_family = AF_INET; // host byte order
my_addr.sin_port = htons(port); // port in network byte order
my_addr.sin_addr.s_addr = INADDR_ANY; // automatically fill in my IP
if (bind(sockfd_, (sockaddr * ) & my_addr, sizeof(sockaddr)) == -1) {
perror("bind"); // TODO: ROS_ERROR errno
return;
}
if (add_multicast) {
struct ip_mreq group;
group.imr_multiaddr.s_addr = inet_addr(group_ip.c_str());
group.imr_interface.s_addr = htonl(INADDR_ANY);
if (setsockopt(sockfd_, IPPROTO_IP, IP_ADD_MEMBERSHIP, (char *) &group, sizeof(group)) < 0) {
perror("Adding multicast group error ");
close(sockfd_);
exit(1);
} else
printf("Adding multicast group...OK.\n");
}
if (fcntl(sockfd_, F_SETFL, O_NONBLOCK | FASYNC) < 0) {
perror("non-block");
return;
}
}
/** @brief destructor */
InputSocket::~InputSocket(void) {
(void) close(sockfd_);
}
void Input::UDP_difop()
{
sockaddr_in server_sai;
server_sai.sin_family = AF_INET; // IPV4 协议族
server_sai.sin_port = htons(UDP_PORT_NUMBER_DIFOP);
server_sai.sin_addr.s_addr = inet_addr(devip_str_.c_str());
for (int k = 0; k < 10; k++)
{
unsigned char data[188]= {0x00};
data[0] = 0xA5;
data[1] = 0x5A;
data[2] = 0x55;
data[184] = 0x08;
data[185] = 0x01;
data[186] = 0xFA;
data[187] = 0xFB;
int rtn = sendto(sockfd_, data, 188, 0, (struct sockaddr *)&server_sai, sizeof(struct sockaddr));
if (rtn < 0) printf("start scan error !\n");
else return;
}
return;
}
void Input::UDP_order(const std_msgs::msg::Int8 msg)
{
int i = msg.data;
sockaddr_in server_sai;
server_sai.sin_family = AF_INET; // IPV4 协议族
server_sai.sin_port = htons(UDP_PORT_NUMBER_DIFOP);
server_sai.sin_addr.s_addr = inet_addr(devip_str_.c_str());
int rtn = 0;
for (int k = 0; k < 10; k++)
{
unsigned char data[188]= {0x00};
data[0] = 0xA5;
data[1] = 0x5A;
data[2] = 0x55;
data[186] = 0xFA;
data[187] = 0xFB;
if(lidar_name == "M10" || lidar_name == "M10_GPS" || lidar_name == "M10_P"){
if (i <= 1){ //雷达启停
data[184] = 0x01;
data[185] = char(i);
}
else if (i == 2){ //雷达点云不滤波
data[181] = 0x0A;
data[184] = 0x06;
data[185] = 0x01;
}
else if (i == 3){ //雷达点云正常滤波
data[181] = 0x0B;
data[184] = 0x06;
data[185] = 0x01;
}
else if (i == 4){ //雷达近距离滤波
data[181] = 0x0C;
data[184] = 0x06;
data[185] = 0x01;
}
else if (i == 100){ //接收设备包
data[184] = 0x08;
data[185] = 0x01;
}
else return;
}
else if (lidar_name == "M10_PLUS"){
data[184] = 0x0A;
data[185] = 0x01;
if(i == 5) {
data[141] = 0x01;
data[142] = 0x2c;
}
else if(i == 6) {
data[141] = 0x01;
data[142] = 0x68;
}
else if(i == 8) {
data[141] = 0x01;
data[142] = 0xe0;
}
else if(i == 10) {
data[141] = 0x02;
data[142] = 0x58;
}
else if(i == 12) {
data[141] = 0x02;
data[142] = 0xd0;
}
else if(i == 15) {
data[141] = 0x03;
data[142] = 0x84;
}
else if(i == 20) {
data[141] = 0x04;
data[142] = 0xb0;
}
else if(i <= 1) {
data[184] = 0x01;
data[185] = char(i);
}
else if(i == 100) { //接收设备包
data[184] = 0x08;
data[185] = 0x01;
}
else return;
}
else if(lidar_name == "N10"){
if(i <= 1){
data[185] = char(i);
data[184] = 0x01;
}
else if(i>=6 && i<=12){
data[172] = char(i);
data[184] = 0x0a;
data[185] = 0X01;
}
else return;
}
rtn = sendto(sockfd_, data, 188, 0, (struct sockaddr *)&server_sai, sizeof(struct sockaddr));
if (rtn < 0)
{
printf("start scan error !\n");
}
else
{
if (i == 1)
usleep(3000000);
return;
}
}
return;
}
int InputSocket::getPacket(lslidar_msgs::msg::LslidarPacket::UniquePtr &packet)
{
int q = 0;
struct pollfd fds[1];
fds[0].fd = sockfd_;
fds[0].events = POLLIN;
static const int POLL_TIMEOUT = 2000; // one second (in msec)
sockaddr_in sender_address{};
socklen_t sender_address_len = sizeof(sender_address);
while (flag == 1)
{
// poll() until input available
do {
int retval = poll(fds, 1, POLL_TIMEOUT);
if (retval < 0) // poll() error?
{
if (errno != EINTR)
RCLCPP_ERROR(private_nh_->get_logger(), "[driver][socket] poll() error: %s", strerror(errno));
return 0;
}
if (retval == 0) // poll() timeout?
{
RCLCPP_WARN(private_nh_->get_logger(), "lslidar poll() timeout, port: %d",port_);
return 0;
}
if ((fds[0].revents & POLLERR) || (fds[0].revents & POLLHUP) || (fds[0].revents & POLLNVAL)) // device error?
{
RCLCPP_ERROR(private_nh_->get_logger(),"poll() reports lslidar error");
return 0;
}
} while ((fds[0].revents & POLLIN) == 0);
// Receive packets that should now be available from the
// socket using a blocking read.
ssize_t nbytes = recvfrom(sockfd_, &packet->data[0], packet_size_input, 0,
(sockaddr *)&sender_address, &sender_address_len);
// ROS_DEBUG_STREAM("incomplete lslidar packet read: "
// << nbytes << " bytes");
q = (int)nbytes;
if (nbytes < 0)
{
if (errno != EWOULDBLOCK)
{
perror("recvfail");
RCLCPP_ERROR(private_nh_->get_logger(),"recvfail");
return 1;
}
}
else if ((size_t)nbytes <= packet_size_input || (size_t)nbytes >= 50)
{
// read successful,
// if packet is not from the lidar scanner we selected by IP,
// continue otherwise we are done
if (devip_str_ != "" && sender_address.sin_addr.s_addr != devip_.s_addr)
continue;
else
break; // done
}
}
if (flag == 0)
{
abort();
}
return q;
}
InputPCAP::InputPCAP(rclcpp::Node *private_nh, uint16_t port, double packet_rate, std::string filename) : Input(private_nh, port),
packet_rate_(packet_rate),
filename_(filename)
{
pcap_ = NULL;
empty_ = true;
read_once_ = false;
read_fast_ = false;
repeat_delay_ = 0.0;
private_nh->get_parameter("read_once", read_once_);
private_nh->get_parameter("read_fast", read_fast_);
private_nh->get_parameter("repeat_delay", repeat_delay_);
if (read_once_)
RCLCPP_WARN(private_nh_->get_logger(),"Read input file only once.");
if (read_fast_)
RCLCPP_WARN(private_nh_->get_logger(),"Read input file as quickly as possible.");
if (repeat_delay_ > 0.0)
RCLCPP_WARN(private_nh_->get_logger(),"Delay %.3f seconds before repeating input file.", repeat_delay_);
RCLCPP_INFO(private_nh_->get_logger(),"Opening PCAP file %s",filename_.c_str());
if ((pcap_ = pcap_open_offline(filename_.c_str(), errbuf_)) == NULL)
{
RCLCPP_WARN(private_nh_->get_logger(),"Error opening lslidar socket dump file.");
return;
}
std::stringstream filter;
if (devip_str_ != "")
{
filter << "src host " << devip_str_ << "&&";
}
filter << "udp dst port " << port;
pcap_compile(pcap_, &pcap_packet_filter_, filter.str().c_str(), 1, PCAP_NETMASK_UNKNOWN);
}
InputPCAP::~InputPCAP(void)
{
pcap_close(pcap_);
}
int InputPCAP::getPacket(lslidar_msgs::msg::LslidarPacket::UniquePtr &pkt)
{
struct pcap_pkthdr *header;
const u_char *pkt_data;
while (flag == 1)
{
int res;
if ((res = pcap_next_ex(pcap_, &header, &pkt_data)) >= 0)
{
// skip packets not for the correct port and from the selected IP address
if (!devip_str_.empty() && (0 == pcap_offline_filter(&pcap_packet_filter_, header, pkt_data)))
continue;
if (read_fast_ == false)
packet_rate_.sleep();
mempcpy(&pkt->data[0], pkt_data + 42, packet_size_input);
empty_ = false;
return 0;
}
if (empty_)
{
RCLCPP_WARN(private_nh_->get_logger(),"Error %d reading lslidar packet: %s", res, pcap_geterr(pcap_));
return -1;
}
if (read_once_)
{
RCLCPP_WARN(private_nh_->get_logger(),"end of file reached -- done reading.");
return -1;
}
if (repeat_delay_ > 0.0)
{
RCLCPP_WARN(private_nh_->get_logger(),"end of file reached -- delaying %.3f seconds.", repeat_delay_);
usleep(rint(repeat_delay_ * 1000000.0));
}
RCLCPP_WARN(private_nh_->get_logger(),"replayding lsliar dump file");
pcap_close(pcap_);
pcap_ = pcap_open_offline(filename_.c_str(), errbuf_);
empty_ = true;
}
if (flag == 0)
{
abort();
}
return 0;
}
} // namespace

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@@ -0,0 +1,400 @@
/*******************************************************
@company: Copyright (C) 2022, Leishen Intelligent System
@product: LSM10 and N10
@filename: lsiosr.cpp
@brief:
@version: date: author: comments:
@v1.0 21-2-4 yao new
*******************************************************/
#include "lslidar_driver/lsiosr.h"
namespace lslidar_driver {
LSIOSR * LSIOSR::instance(std::string name, int speed, int fd)
{
static LSIOSR obj(name, speed, fd);
return &obj;
}
LSIOSR::LSIOSR(std::string port, int baud_rate, int fd):port_(port), baud_rate_(baud_rate), fd_(fd)
{
printf("port = %s, baud_rate = %d\n", port.c_str(), baud_rate);
}
LSIOSR::~LSIOSR()
{
close();
}
/* 串口配置的函数 */
int LSIOSR::setOpt(int nBits, uint8_t nEvent, int nStop)
{
struct termios newtio, oldtio;
/*保存测试现有串口参数设置,在这里如果串口号等出错,会有相关的出错信息*/
if (tcgetattr(fd_, &oldtio) != 0)
{
perror("SetupSerial 1");
return -1;
}
bzero(&newtio, sizeof(newtio));
/*步骤一,设置字符大小*/
newtio.c_cflag |= CLOCAL; //如果设置modem 的控制线将会被忽略。如果没有设置,则 open()函数会阻塞直到载波检测线宣告 modem 处于摘机状态为止。
newtio.c_cflag |= CREAD; //使端口能读取输入的数据
/*设置每个数据的位数*/
switch (nBits)
{
case 7:
newtio.c_cflag |= CS7;
break;
case 8:
newtio.c_cflag |= CS8;
break;
}
/*设置奇偶校验位*/
switch (nEvent)
{
case 'O': //奇数
newtio.c_iflag |= (INPCK | ISTRIP);
newtio.c_cflag |= PARENB; //使能校验如果不设PARODD则是偶校验
newtio.c_cflag |= PARODD; //奇校验
break;
case 'E': //偶数
newtio.c_iflag |= (INPCK | ISTRIP);
newtio.c_cflag |= PARENB;
newtio.c_cflag &= ~PARODD;
break;
case 'N': //无奇偶校验位
newtio.c_cflag &= ~PARENB;
break;
}
/*设置波特率*/
switch (baud_rate_)
{
case 230400:
cfsetispeed(&newtio, B230400);
cfsetospeed(&newtio, B230400);
break;
case 460800:
cfsetispeed(&newtio, B460800);
cfsetospeed(&newtio, B460800);
break;
case 500000:
cfsetispeed(&newtio, B500000);
cfsetospeed(&newtio, B500000);
break;
case 921600:
cfsetispeed(&newtio, B921600);
cfsetospeed(&newtio, B921600);
break;
default:
cfsetispeed(&newtio, B460800);
cfsetospeed(&newtio, B460800);
break;
}
/*
* 设置停止位
* 设置停止位的位数, 如果设置,则会在每帧后产生两个停止位, 如果没有设置,则产生一个
* 停止位。一般都是使用一位停止位。需要两位停止位的设备已过时了。
* */
if (nStop == 1)
newtio.c_cflag &= ~CSTOPB;
else if (nStop == 2)
newtio.c_cflag |= CSTOPB;
/*设置等待时间和最小接收字符*/
newtio.c_cc[VTIME] = 0;
newtio.c_cc[VMIN] = 0;
/*处理未接收字符*/
tcflush(fd_, TCIFLUSH);
/*激活新配置*/
if ((tcsetattr(fd_, TCSANOW, &newtio)) != 0)
{
perror("serial set error");
return -1;
}
return 0;
}
void LSIOSR::flushinput() {
tcflush(fd_, TCIFLUSH);
}
/* 从串口中读取数据 */
int LSIOSR::read(unsigned char *buffer, int length, int timeout)
{
memset(buffer, 0, length);
int totalBytesRead = 0;
int rc;
int unlink = 0;
unsigned char* pb = buffer;
if (timeout > 0)
{
rc = waitReadable(timeout);
if (rc <= 0)
{
return (rc == 0) ? 0 : -1;
}
int retry = 3;
while (length > 0)
{
rc = ::read(fd_, pb, (size_t)length);
if (rc > 0)
{
length -= rc;
pb += rc;
totalBytesRead += rc;
if (length == 0)
{
break;
}
}
else if (rc < 0)
{
printf("error \n");
retry--;
if (retry <= 0)
{
break;
}
}
unlink++;
rc = waitReadable(20);
if(unlink > 10)
return -1;
if (rc <= 0)
{
break;
}
}
}
else
{
rc = ::read(fd_, pb, (size_t)length);
if (rc > 0)
{
totalBytesRead += rc;
}
else if ((rc < 0) && (errno != EINTR) && (errno != EAGAIN))
{
printf("read error\n");
return -1;
}
}
return totalBytesRead;
}
int LSIOSR::waitReadable(int millis)
{
if (fd_ < 0)
{
return -1;
}
int serial = fd_;
fd_set fdset;
struct timeval tv;
int rc = 0;
while (millis > 0)
{
if (millis < 5000)
{
tv.tv_usec = millis % 1000 * 1000;
tv.tv_sec = millis / 1000;
millis = 0;
}
else
{
tv.tv_usec = 0;
tv.tv_sec = 5;
millis -= 5000;
}
FD_ZERO(&fdset);
FD_SET(serial, &fdset);
rc = select(serial + 1, &fdset, NULL, NULL, &tv);
if (rc > 0)
{
rc = (FD_ISSET(serial, &fdset)) ? 1 : -1;
break;
}
else if (rc < 0)
{
rc = -1;
break;
}
}
return rc;
}
int LSIOSR::waitWritable(int millis)
{
if (fd_ < 0)
{
return -1;
}
int serial = fd_;
fd_set fdset;
struct timeval tv;
int rc = 0;
while (millis > 0)
{
if (millis < 5000)
{
tv.tv_usec = millis % 1000 * 1000;
tv.tv_sec = millis / 1000;
millis = 0;
}
else
{
tv.tv_usec = 0;
tv.tv_sec = 5;
millis -= 5000;
}
FD_ZERO(&fdset);
FD_SET(serial, &fdset);
rc = select(serial + 1, NULL, &fdset, NULL, &tv);
if (rc > 0)
{
rc = (FD_ISSET(serial, &fdset)) ? 1 : -1;
break;
}
else if (rc < 0)
{
rc = -1;
break;
}
}
return rc;
}
/* 向串口中发送数据 */
int LSIOSR::send(const char* buffer, int length, int timeout)
{
if (fd_ < 0)
{
return -1;
}
if ((buffer == 0) || (length <= 0))
{
return -1;
}
int totalBytesWrite = 0;
int rc;
char* pb = (char*)buffer;
if (timeout > 0)
{
rc = waitWritable(timeout);
if (rc <= 0)
{
return (rc == 0) ? 0 : -1;
}
int retry = 3;
while (length > 0)
{
rc = write(fd_, pb, (size_t)length);
if (rc > 0)
{
length -= rc;
pb += rc;
totalBytesWrite += rc;
if (length == 0)
{
break;
}
}
else
{
retry--;
if (retry <= 0)
{
break;
}
}
rc = waitWritable(50);
if (rc <= 0)
{
break;
}
}
}
else
{
rc = write(fd_, pb, (size_t)length);
if (rc > 0)
{
totalBytesWrite += rc;
}
else if ((rc < 0) && (errno != EINTR) && (errno != EAGAIN))
{
return -1;
}
}
return totalBytesWrite;
}
int LSIOSR::init()
{
int error_code = 0;
fd_ = open(port_.c_str(), O_RDWR|O_NOCTTY|O_NDELAY);
if (0 < fd_)
{
error_code = 0;
setOpt(DATA_BIT_8, PARITY_NONE, STOP_BIT_1);//设置串口参数
//printf("open_port %s OK !\n", port_.c_str());
}
else
{
error_code = -1;
}
return error_code;
}
int LSIOSR::close()
{
::close(fd_);
return 0;
}
std::string LSIOSR::getPort()
{
return port_;
}
int LSIOSR::setPortName(std::string name)
{
port_ = name;
return 0;
}
}

File diff suppressed because it is too large Load Diff

File diff suppressed because it is too large Load Diff

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@@ -0,0 +1,35 @@
/*
* This file is part of lslidar driver.
*
* The driver is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* The driver is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with the driver. If not, see <http://www.gnu.org/licenses/>.
*/
#include "rclcpp/rclcpp.hpp"
#include "lslidar_driver/lslidar_driver.h"
using namespace lslidar_driver;
volatile sig_atomic_t flag = 1;
int main(int argc, char* argv[])
{
rclcpp::init(argc, argv);
auto node = std::make_shared<lslidar_driver::LslidarDriver>();
while (rclcpp::ok() && node->polling()) {
rclcpp::spin_some(node);
}
//rclcpp::spin(node);
rclcpp::shutdown();
return 0;
}

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@@ -0,0 +1,39 @@
cmake_minimum_required(VERSION 3.5)
project(lslidar_msgs)
# Default to C99
if(NOT CMAKE_C_STANDARD)
set(CMAKE_C_STANDARD 99)
endif()
# Default to C++14
if(NOT CMAKE_CXX_STANDARD)
set(CMAKE_CXX_STANDARD 14)
endif()
if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
add_compile_options(-Wall -Wextra -Wpedantic)
endif()
# find dependencies
find_package(ament_cmake REQUIRED)
find_package(std_msgs REQUIRED)
find_package(sensor_msgs REQUIRED)
find_package(builtin_interfaces REQUIRED)
find_package(rosidl_default_generators REQUIRED)
if(BUILD_TESTING)
find_package(ament_lint_auto REQUIRED)
ament_lint_auto_find_test_dependencies()
endif()
rosidl_generate_interfaces(lslidar_msgs
"msg/LslidarDifop.msg"
"msg/LslidarPacket.msg"
"msg/LslidarPoint.msg"
"msg/LslidarScan.msg"
"msg/LslidarSweep.msg"
DEPENDENCIES builtin_interfaces std_msgs
)
ament_package()

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@@ -0,0 +1,2 @@
int64 temperature
int64 rpm

View File

@@ -0,0 +1,5 @@
# Raw Leishen LIDAR packet.
builtin_interfaces/Time stamp # packet timestamp
uint8[2000] data # packet contents

View File

@@ -0,0 +1,12 @@
# Time when the point is captured
float32 time
# Converted distance in the sensor frame
float64 x
float64 y
float64 z
# Raw measurement from Leishen M10
float64 azimuth
float64 distance
float64 intensity

View File

@@ -0,0 +1,6 @@
# Altitude of all the points within this scan
float64 altitude
# The valid points in this scan sorted by azimuth
# from 0 to 359.99
LslidarPoint[] points

View File

@@ -0,0 +1,4 @@
std_msgs/Header header
# The 0th scan is at the bottom
LslidarScan[16] scans

View File

@@ -0,0 +1,25 @@
<?xml version="1.0"?>
<package format="3">
<name>lslidar_msgs</name>
<version>1.2.0</version>
<description>ROS message definitions for Leishen LIDARs.</description>
<maintainer email="shaohuashu@lslidar.com">Nick Shu</maintainer>
<author>Nick Shu</author>
<license>GNU General Public License V3.0</license>
<buildtool_depend>ament_cmake</buildtool_depend>
<buildtool_depend>rosidl_default_generators</buildtool_depend>
<exec_depend>rosidl_default_runtime</exec_depend>
<exec_depend>builtin_interfaces</exec_depend>
<depend>std_msgs</depend>
<test_depend>ament_lint_auto</test_depend>
<test_depend>ament_lint_common</test_depend>
<member_of_group>rosidl_interface_packages</member_of_group>
<export>
<build_type>ament_cmake</build_type>
</export>
</package>

View File

@@ -0,0 +1,20 @@
版本变更
/***************************************************************
初始版本: LSLIDAR_M10_N10_V2.5.0_221104_ROS2
变更内容:
1.实现M10/M10_P/M10_PLUS/N10/M10_GPS网口和串口传输数据生成点云功能
2.实现点云角度裁剪和距离过滤功能
3.可以通过lslidar_order话题控制雷达启停
4.支持读取pcap包
更改日期: 2022-11-04
***************************************************************/
/***************************************************************
初始版本: LSLIDAR_M10_N10_V2.5.0_221111_ROS2
变更内容:
1.针对M10和M10_GPS雷达出货后发现的点云问题进行驱动补救
更改日期: 2022-11-11
***************************************************************/

View File

@@ -0,0 +1,33 @@
#CP2102 串口号0002 设置别名为wheeltec_controller
echo 'KERNEL=="ttyUSB*", ATTRS{idVendor}=="10c4", ATTRS{idProduct}=="ea60",ATTRS{serial}=="0002", MODE:="0777", GROUP:="dialout", SYMLINK+="wheeltec_controller"' >/etc/udev/rules.d/wheeltec_controller.rules
#CH9102同时系统安装了对应驱动 串口号0002 设置别名为wheeltec_controller
echo 'KERNEL=="ttyCH343USB*", ATTRS{idVendor}=="1a86", ATTRS{idProduct}=="55d4",ATTRS{serial}=="0002", MODE:="0777", GROUP:="dialout", SYMLINK+="wheeltec_controller"' >/etc/udev/rules.d/wheeltec_controller2.rules
#CH9102同时系统没有安装对应驱动 串口号0002 设置别名为wheeltec_controller
echo 'KERNEL=="ttyACM*", ATTRS{idVendor}=="1a86", ATTRS{idProduct}=="55d4",ATTRS{serial}=="0002", MODE:="0777", GROUP:="dialout", SYMLINK+="wheeltec_controller"' >/etc/udev/rules.d/wheeltec_controller3.rules
#CP2102 串口号0001 设置别名为wheeltec_lidar
echo 'KERNEL=="ttyUSB*", ATTRS{idVendor}=="10c4", ATTRS{idProduct}=="ea60",ATTRS{serial}=="0001", MODE:="0777", GROUP:="dialout", SYMLINK+="wheeltec_lidar"' >/etc/udev/rules.d/wheeltec_lidar.rules
#CH9102同时系统安装了对应驱动 串口号0001 设置别名为wheeltec_lidar
echo 'KERNEL=="ttyCH343USB*", ATTRS{idVendor}=="1a86", ATTRS{idProduct}=="55d4",ATTRS{serial}=="54B8001974", MODE:="0777", GROUP:="dialout", SYMLINK+="wheeltec_lidar"' >/etc/udev/rules.d/wheeltec_lidar2.rules
#CH9102同时系统没有安装对应驱动 串口号0001 设置别名为wheeltec_lidar
echo 'KERNEL=="ttyACM*", ATTRS{idVendor}=="1a86", ATTRS{idProduct}=="55d4",ATTRS{serial}=="0001", MODE:="0777", GROUP:="dialout", SYMLINK+="wheeltec_lidar"' >/etc/udev/rules.d/wheeltec_lidar3.rules
#CP2102 串口号0003 设置别名为wheeltec_FDI_IMU_GNSS
echo 'KERNEL=="ttyUSB*", ATTRS{idVendor}=="10c4", ATTRS{idProduct}=="ea60",ATTRS{serial}=="0003", MODE:="0777", GROUP:="dialout", SYMLINK+="wheeltec_FDI_IMU_GNSS"' >/etc/udev/rules.d/wheeltec_fdi_imu_gnss.rules
#CH9102同时系统安装了对应驱动 串口号0003 设置别名为wheeltec_FDI_IMU_GNSS
echo 'KERNEL=="ttyCH343USB*", ATTRS{idVendor}=="1a86", ATTRS{idProduct}=="55d4",ATTRS{serial}=="0003", MODE:="0777", GROUP:="dialout", SYMLINK+="wheeltec_FDI_IMU_GNSS"' >/etc/udev/rules.d/wheeltec_fdi_imu_gnss2.rules
#CH9102同时系统没有安装对应驱动 串口号0003 设置别名为wheeltec_FDI_IMU_GNSS
echo 'KERNEL=="ttyACM*", ATTRS{idVendor}=="1a86", ATTRS{idProduct}=="55d4",ATTRS{serial}=="0003", MODE:="0777", GROUP:="dialout", SYMLINK+="wheeltec_FDI_IMU_GNSS"' >/etc/udev/rules.d/wheeltec_fdi_imu_gnss3.rules
echo 'SUBSYSTEM=="video4linux",ATTR{name}=="GENERAL WEBCAM",ATTR{index}=="0",MODE:="0777",SYMLINK+="RgbCam"' >>/etc/udev/rules.d/camera.rules
echo 'SUBSYSTEM=="video4linux",ATTR{name}=="GENERAL WEBCAM: GENERAL WEBCAM",ATTR{index}=="0",MODE:="0777",SYMLINK+="RgbCam"' >>/etc/udev/rules.d/camera.rules
echo 'SUBSYSTEM=="video4linux",ATTR{name}=="Astra Pro HD Camera: Astra Pro ",ATTR{index}=="0",MODE:="0777",SYMLINK+="Astra_Pro"' >>/etc/udev/rules.d/camera.rules
echo 'SUBSYSTEM=="video4linux",ATTR{name}=="USB 2.0 Camera: USB Camera",ATTR{index}=="0",MODE:="0777",SYMLINK+="Astra_Dabai"' >>/etc/udev/rules.d/camera.rules
echo 'SUBSYSTEM=="video4linux",ATTR{name}=="USB 2.0 Camera",ATTR{index}=="0",MODE:="0777",SYMLINK+="Astra_Gemini"' >>/etc/udev/rules.d/camera.rules
echo 'SUBSYSTEM=="video4linux",ATTR{name}=="Intel(R) RealSense(TM) Depth Ca",ATTR{index}=="0",MODE:="0777",SYMLINK+="realsense"' >>/etc/udev/rules.d/camera.rules
service udev reload
sleep 2
service udev restart

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import os
from pathlib import Path
import launch_ros.actions
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import (DeclareLaunchArgument, GroupAction,
IncludeLaunchDescription, SetEnvironmentVariable)
from launch.launch_description_sources import PythonLaunchDescriptionSource
def generate_launch_description():
Lslidar_dir = get_package_share_directory('lslidar_driver')
Lslidar_launch_dir = os.path.join(Lslidar_dir, 'launch')
Ld14_dir = get_package_share_directory('ldlidar_sl_ros2')
Ld14_launch_dir = os.path.join(Ld14_dir, 'launch')
Ld06_dir = get_package_share_directory('ldlidar_stl_ros2')
Ld06_launch_dir = os.path.join(Ld14_dir, 'launch')
Lsm10_m10_uart = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Lslidar_launch_dir, 'lsm10_uart_launch.py')),)
Lsm10_m10_net = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Lslidar_launch_dir, 'lsm10_net_launch.py')),)
Lsm10_m10p_uart = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Lslidar_launch_dir, 'lsm10p_uart_launch.py')),)
Lsm10_m10p_net = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Lslidar_launch_dir, 'lsm10p_net_launch.py')),)
Lsn10 = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Lslidar_launch_dir, 'lsn10_launch.py')),)
Lsn10p = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Lslidar_launch_dir, 'lsn10p_launch.py')),)
Lsn10_net = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Lslidar_launch_dir, 'lsn10_net_launch.py')),)
Lsn10p_net = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Lslidar_launch_dir, 'lsn10p_net_launch.py')),)
Ld14 = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Ld14_launch_dir, 'ld14.launch.py')),)
Ld06 = IncludeLaunchDescription(
PythonLaunchDescriptionSource(os.path.join(Ld06_launch_dir, 'ld06.launch.py')),)
# Create the launch description and populate
ld = LaunchDescription()
'''
Please select your lidar here, options include:
Lsm10_m10p_uart、Lsm10_m10p_net、Lsm10_m10_uart、Lsm10_m10_net、Lsn10、Lsn10p,Lsn10_net、Lsn10p_net,ld14、Ld06.
1.If you are using LS* lidar (including lsn10, lsm10*), please don't forget to
modify the tf conversion parameters of robot_mode_description.launch.py
according to the user guide file.
2.If you are using m10 lidar, please pay attention to distinguish whether it is m10p or not.
'''
ld.add_action(Lsn10)
return ld

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cmake_minimum_required(VERSION 3.8)
project(cyy_navigation2)
if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
add_compile_options(-Wall -Wextra -Wpedantic)
endif()
# find dependencies
find_package(ament_cmake REQUIRED)
find_package(nav2_bringup REQUIRED)
install(
DIRECTORY launch param maps
DESTINATION share/${PROJECT_NAME}
)
if(BUILD_TESTING)
find_package(ament_lint_auto REQUIRED)
# the following line skips the linter which checks for copyrights
# comment the line when a copyright and license is added to all source files
set(ament_cmake_copyright_FOUND TRUE)
# the following line skips cpplint (only works in a git repo)
# comment the line when this package is in a git repo and when
# a copyright and license is added to all source files
set(ament_cmake_cpplint_FOUND TRUE)
ament_lint_auto_find_test_dependencies()
endif()
ament_package()

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<!--
This Behavior Tree follows a dynamic pose to a certain distance
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<PipelineSequence name="NavigateWithReplanning">
<RateController hz="1.0">
<Sequence>
<GoalUpdater input_goal="{goal}" output_goal="{updated_goal}">
<ComputePathToPose goal="{updated_goal}" path="{path}" planner_id="GridBased"/>
</GoalUpdater>
<TruncatePath distance="1.0" input_path="{path}" output_path="{truncated_path}"/>
</Sequence>
</RateController>
<KeepRunningUntilFailure>
<FollowPath path="{truncated_path}" controller_id="FollowPath"/>
</KeepRunningUntilFailure>
</PipelineSequence>
</BehaviorTree>
</root>

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<!--
This Behavior Tree replans the global path once every 15 seconds or if the path becomes invalid. It also has
recovery actions specific to planning / control as well as general system issues.
This will be continuous if a kinematically valid planner is selected.
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<RecoveryNode number_of_retries="6" name="NavigateRecovery">
<PipelineSequence name="NavigateWithReplanning">
<RateController hz="2.0">
<RecoveryNode number_of_retries="1" name="ComputePathToPose">
<Fallback>
<ReactiveSequence>
<Inverter>
<PathExpiringTimer seconds="10" path="{path}"/>
</Inverter>
<Inverter>
<GlobalUpdatedGoal/>
</Inverter>
<IsPathValid path="{path}"/>
</ReactiveSequence>
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
</Fallback>
<ClearEntireCostmap name="ClearGlobalCostmap-Context" service_name="global_costmap/clear_entirely_global_costmap"/>
</RecoveryNode>
</RateController>
<RecoveryNode number_of_retries="1" name="FollowPath">
<FollowPath path="{path}" controller_id="FollowPath"/>
<ClearEntireCostmap name="ClearLocalCostmap-Context" service_name="local_costmap/clear_entirely_local_costmap"/>
</RecoveryNode>
</PipelineSequence>
<ReactiveFallback name="RecoveryFallback">
<GoalUpdated/>
<RoundRobin name="RecoveryActions">
<Sequence name="ClearingActions">
<ClearEntireCostmap name="ClearLocalCostmap-Subtree" service_name="local_costmap/clear_entirely_local_costmap"/>
<ClearEntireCostmap name="ClearGlobalCostmap-Subtree" service_name="global_costmap/clear_entirely_global_costmap"/>
</Sequence>
<Spin spin_dist="1.57"/>
<Wait wait_duration="5"/>
<BackUp backup_dist="0.30" backup_speed="0.05"/>
</RoundRobin>
</ReactiveFallback>
</RecoveryNode>
</BehaviorTree>
</root>

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<!--
This Behavior Tree replans the global path periodically at 1 Hz through an array of poses continuously
and it also has recovery actions specific to planning / control as well as general system issues.
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<RecoveryNode number_of_retries="6" name="NavigateRecovery">
<PipelineSequence name="NavigateWithReplanning">
<RateController hz="0.333">
<RecoveryNode number_of_retries="1" name="ComputePathThroughPoses">
<ReactiveSequence>
<RemovePassedGoals input_goals="{goals}" output_goals="{goals}" radius="0.7"/>
<ComputePathThroughPoses goals="{goals}" path="{path}" planner_id="GridBased"/>
</ReactiveSequence>
<ClearEntireCostmap name="ClearGlobalCostmap-Context" service_name="global_costmap/clear_entirely_global_costmap"/>
</RecoveryNode>
</RateController>
<RecoveryNode number_of_retries="1" name="FollowPath">
<FollowPath path="{path}" controller_id="FollowPath"/>
<ClearEntireCostmap name="ClearLocalCostmap-Context" service_name="local_costmap/clear_entirely_local_costmap"/>
</RecoveryNode>
</PipelineSequence>
<ReactiveFallback name="RecoveryFallback">
<GoalUpdated/>
<RoundRobin name="RecoveryActions">
<Sequence name="ClearingActions">
<ClearEntireCostmap name="ClearLocalCostmap-Subtree" service_name="local_costmap/clear_entirely_local_costmap"/>
<ClearEntireCostmap name="ClearGlobalCostmap-Subtree" service_name="global_costmap/clear_entirely_global_costmap"/>
</Sequence>
<Spin spin_dist="1.57"/>
<Wait wait_duration="5"/>
<BackUp backup_dist="0.30" backup_speed="0.05"/>
</RoundRobin>
</ReactiveFallback>
</RecoveryNode>
</BehaviorTree>
</root>

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<!--
This Behavior Tree replans the global path periodically at 1 Hz and it also has
recovery actions specific to planning / control as well as general system issues.
This will be continuous if a kinematically valid planner is selected.
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<RecoveryNode number_of_retries="6" name="NavigateRecovery">
<PipelineSequence name="NavigateWithReplanning">
<RateController hz="1.0">
<RecoveryNode number_of_retries="1" name="ComputePathToPose">
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
<ClearEntireCostmap name="ClearGlobalCostmap-Context" service_name="global_costmap/clear_entirely_global_costmap"/>
</RecoveryNode>
</RateController>
<RecoveryNode number_of_retries="1" name="FollowPath">
<FollowPath path="{path}" controller_id="FollowPath"/>
<ClearEntireCostmap name="ClearLocalCostmap-Context" service_name="local_costmap/clear_entirely_local_costmap"/>
</RecoveryNode>
</PipelineSequence>
<ReactiveFallback name="RecoveryFallback">
<GoalUpdated/>
<RoundRobin name="RecoveryActions">
<Sequence name="ClearingActions">
<ClearEntireCostmap name="ClearLocalCostmap-Subtree" service_name="local_costmap/clear_entirely_local_costmap"/>
<ClearEntireCostmap name="ClearGlobalCostmap-Subtree" service_name="global_costmap/clear_entirely_global_costmap"/>
</Sequence>
<Spin spin_dist="1.57"/>
<Wait wait_duration="5"/>
<BackUp backup_dist="0.30" backup_speed="0.05"/>
</RoundRobin>
</ReactiveFallback>
</RecoveryNode>
</BehaviorTree>
</root>

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<!--
This BT has all the functionalities of navigate_to_pose_w_replanning_and_recovery.xml,
with an additional feature to cancel the control closer to the goal proximity and
make the robot wait for a specific time, to see if the obstacle clears out before
navigating along a significantly longer path to reach the goal location.
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<RecoveryNode number_of_retries="6" name="NavigateRecovery">
<PipelineSequence name="NavigateWithReplanning">
<RateController hz="1.0">
<RecoveryNode number_of_retries="1" name="ComputePathToPose">
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
<ClearEntireCostmap name="ClearGlobalCostmap-Context" service_name="global_costmap/clear_entirely_global_costmap"/>
</RecoveryNode>
</RateController>
<ReactiveSequence name="MonitorAndFollowPath">
<PathLongerOnApproach path="{path}" prox_len="3.0" length_factor="2.0">
<RetryUntilSuccessful num_attempts="1">
<SequenceStar name="CancelingControlAndWait">
<CancelControl name="ControlCancel"/>
<Wait wait_duration="5"/>
</SequenceStar>
</RetryUntilSuccessful>
</PathLongerOnApproach>
<RecoveryNode number_of_retries="1" name="FollowPath">
<FollowPath path="{path}" controller_id="FollowPath"/>
<ClearEntireCostmap name="ClearLocalCostmap-Context" service_name="local_costmap/clear_entirely_local_costmap"/>
</RecoveryNode>
</ReactiveSequence>
</PipelineSequence>
<ReactiveFallback name="RecoveryFallback">
<GoalUpdated/>
<RoundRobin name="RecoveryActions">
<Sequence name="ClearingActions">
<ClearEntireCostmap name="ClearLocalCostmap-Subtree" service_name="local_costmap/clear_entirely_local_costmap"/>
<ClearEntireCostmap name="ClearGlobalCostmap-Subtree" service_name="global_costmap/clear_entirely_global_costmap"/>
</Sequence>
<Spin spin_dist="1.57"/>
<Wait wait_duration="5"/>
<BackUp backup_dist="0.30" backup_speed="0.05"/>
</RoundRobin>
</ReactiveFallback>
</RecoveryNode>
</BehaviorTree>
</root>

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<!--
This Behavior Tree replans the global path only if the path becomes invalid and it also has
recovery actions specific to planning / control as well as general system issues.
This will be continuous if a kinematically valid planner is selected.
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<RecoveryNode number_of_retries="6" name="NavigateRecovery">
<PipelineSequence>
<RateController hz="1.0" name="RateControllerComputePathToPose">
<RecoveryNode number_of_retries="1" name="RecoveryComputePathToPose">
<Fallback name="FallbackComputePathToPose">
<ReactiveSequence name="CheckIfNewPathNeeded">
<Inverter>
<GlobalUpdatedGoal/>
</Inverter>
<IsPathValid path="{path}"/>
</ReactiveSequence>
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
</Fallback>
<ClearEntireCostmap name="ClearGlobalCostmap-Context" service_name="global_costmap/clear_entirely_global_costmap"/>
</RecoveryNode>
</RateController>
<RecoveryNode number_of_retries="1" name="RecoveryFollowPath">
<FollowPath path="{path}" controller_id="FollowPath"/>
<ClearEntireCostmap name="ClearLocalCostmap-Context" service_name="local_costmap/clear_entirely_local_costmap"/>
</RecoveryNode>
</PipelineSequence>
<ReactiveFallback name="FallbackRecoveries">
<GoalUpdated/>
<RoundRobin name="RecoveryActions">
<Sequence name="ClearingActions">
<ClearEntireCostmap name="ClearLocalCostmap-Subtree" service_name="local_costmap/clear_entirely_local_costmap"/>
<ClearEntireCostmap name="ClearGlobalCostmap-Subtree" service_name="global_costmap/clear_entirely_global_costmap"/>
</Sequence>
<Spin name="SpinRecovery" spin_dist="1.57"/>
<Wait name="WaitRecovery" wait_duration="5"/>
<BackUp name="BackUpRecovery" backup_dist="0.30" backup_speed="0.05"/>
</RoundRobin>
</ReactiveFallback>
</RecoveryNode>
</BehaviorTree>
</root>

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<!--
This Behavior Tree replans the global path after every 1m.
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<PipelineSequence name="NavigateWithReplanning">
<DistanceController distance="1.0">
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
</DistanceController>
<FollowPath path="{path}" controller_id="FollowPath"/>
</PipelineSequence>
</BehaviorTree>
</root>

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<!--
This Behavior Tree replans the global path only when the goal is updated.
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<PipelineSequence name="NavigateWithReplanning">
<GoalUpdatedController>
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
</GoalUpdatedController>
<FollowPath path="{path}" controller_id="FollowPath"/>
</PipelineSequence>
</BehaviorTree>
</root>

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<!--
This Behavior Tree replans the global path only if the path becomes invalid
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<PipelineSequence name="NavigateWithReplanning">
<RateController hz="1.0">
<Fallback>
<ReactiveSequence>
<Inverter>
<GlobalUpdatedGoal/>
</Inverter>
<IsPathValid path="{path}"/>
</ReactiveSequence>
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
</Fallback>
</RateController>
<FollowPath path="{path}" controller_id="FollowPath"/>
</PipelineSequence>
</BehaviorTree>
</root>

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<!--
This Behavior Tree replans the global path periodically proprortional to speed.
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<PipelineSequence name="NavigateWithReplanning">
<SpeedController min_rate="0.1" max_rate="1.0" min_speed="0.0" max_speed="0.26">
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
</SpeedController>
<FollowPath path="{path}" controller_id="FollowPath"/>
</PipelineSequence>
</BehaviorTree>
</root>

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<!--
This Behavior Tree replans the global path periodically at 1 Hz.
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<PipelineSequence name="NavigateWithReplanning">
<RateController hz="1.0">
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
</RateController>
<FollowPath path="{path}" controller_id="FollowPath"/>
</PipelineSequence>
</BehaviorTree>
</root>

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<!--
his Behavior Tree drives in a square for odometry calibration experiments
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<Repeat num_cycles="3">
<Sequence name="Drive in a square">
<DriveOnHeading dist_to_travel="2.0" speed="0.2" time_allowance="12"/>
<Spin spin_dist="1.570796" is_recovery="false"/>
<DriveOnHeading dist_to_travel="2.0" speed="0.2" time_allowance="12"/>
<Spin spin_dist="1.570796" is_recovery="false"/>
<DriveOnHeading dist_to_travel="2.0" speed="0.2" time_allowance="12"/>
<Spin spin_dist="1.570796" is_recovery="false"/>
<DriveOnHeading dist_to_travel="2.0" speed="0.2" time_allowance="12"/>
<Spin spin_dist="1.570796" is_recovery="false"/>
</Sequence>
</Repeat>
</BehaviorTree>
</root>

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amcl:
ros__parameters:
use_sim_time: True
alpha1: 0.5
alpha2: 0.5
alpha3: 0.5
alpha4: 0.5
alpha5: 0.5
base_frame_id: "base_link"
beam_skip_distance: 0.5
beam_skip_error_threshold: 0.9
beam_skip_threshold: 0.3
do_beamskip: true
global_frame_id: "map"
lambda_short: 0.1
laser_likelihood_max_dist: 4.0
laser_max_range: 100.0
laser_min_range: -1.0
laser_model_type: "likelihood_field"
max_beams: 120
max_particles: 4000
min_particles: 1000
odom_frame_id: "odom"
pf_err: 0.01
pf_z: 0.99
recovery_alpha_fast: 0.0
recovery_alpha_slow: 0.0
resample_interval: 2
robot_model_type: "nav2_amcl::DifferentialMotionModel"
save_pose_rate: 0.5
sigma_hit: 0.2
tf_broadcast: true
transform_tolerance: 1.0
update_min_a: 0.2
update_min_d: 0.25
z_hit: 0.9
z_max: 0.05
z_rand: 0.1
z_short: 0.05
scan_topic: scan
bt_navigator:
ros__parameters:
use_sim_time: True
global_frame: map
robot_base_frame: base_link
odom_topic: /odom
bt_loop_duration: 10
default_server_timeout: 20
wait_for_service_timeout: 1000
# 'default_nav_through_poses_bt_xml' and 'default_nav_to_pose_bt_xml' are use defaults:
# nav2_bt_navigator/navigate_to_pose_w_replanning_and_recovery.xml
# nav2_bt_navigator/navigate_through_poses_w_replanning_and_recovery.xml
# They can be set here or via a RewrittenYaml remap from a parent launch file to Nav2.
plugin_lib_names:
- nav2_compute_path_to_pose_action_bt_node
- nav2_compute_path_through_poses_action_bt_node
- nav2_smooth_path_action_bt_node
- nav2_follow_path_action_bt_node
- nav2_spin_action_bt_node
- nav2_wait_action_bt_node
- nav2_assisted_teleop_action_bt_node
- nav2_back_up_action_bt_node
- nav2_drive_on_heading_bt_node
- nav2_clear_costmap_service_bt_node
- nav2_is_stuck_condition_bt_node
- nav2_goal_reached_condition_bt_node
- nav2_goal_updated_condition_bt_node
- nav2_globally_updated_goal_condition_bt_node
- nav2_is_path_valid_condition_bt_node
- nav2_initial_pose_received_condition_bt_node
- nav2_reinitialize_global_localization_service_bt_node
- nav2_rate_controller_bt_node
- nav2_distance_controller_bt_node
- nav2_speed_controller_bt_node
- nav2_truncate_path_action_bt_node
- nav2_truncate_path_local_action_bt_node
- nav2_goal_updater_node_bt_node
- nav2_recovery_node_bt_node
- nav2_pipeline_sequence_bt_node
- nav2_round_robin_node_bt_node
- nav2_transform_available_condition_bt_node
- nav2_time_expired_condition_bt_node
- nav2_path_expiring_timer_condition
- nav2_distance_traveled_condition_bt_node
- nav2_single_trigger_bt_node
- nav2_goal_updated_controller_bt_node
- nav2_is_battery_low_condition_bt_node
- nav2_navigate_through_poses_action_bt_node
- nav2_navigate_to_pose_action_bt_node
- nav2_remove_passed_goals_action_bt_node
- nav2_planner_selector_bt_node
- nav2_controller_selector_bt_node
- nav2_goal_checker_selector_bt_node
- nav2_controller_cancel_bt_node
- nav2_path_longer_on_approach_bt_node
- nav2_wait_cancel_bt_node
- nav2_spin_cancel_bt_node
- nav2_back_up_cancel_bt_node
- nav2_assisted_teleop_cancel_bt_node
- nav2_drive_on_heading_cancel_bt_node
- nav2_is_battery_charging_condition_bt_node
bt_navigator_navigate_through_poses_rclcpp_node:
ros__parameters:
use_sim_time: True
bt_navigator_navigate_to_pose_rclcpp_node:
ros__parameters:
use_sim_time: True
controller_server:
ros__parameters:
use_sim_time: True
controller_frequency: 20.0
min_x_velocity_threshold: 0.001
min_y_velocity_threshold: 0.5
min_theta_velocity_threshold: 0.001
failure_tolerance: 0.3
progress_checker_plugin: "progress_checker"
goal_checker_plugins: ["general_goal_checker"] # "precise_goal_checker"
controller_plugins: ["FollowPath"]
# Progress checker parameters
progress_checker:
plugin: "nav2_controller::SimpleProgressChecker"
required_movement_radius: 0.5
movement_time_allowance: 10.0
# Goal checker parameters
#precise_goal_checker:
# plugin: "nav2_controller::SimpleGoalChecker"
# xy_goal_tolerance: 0.25
# yaw_goal_tolerance: 0.25
# stateful: True
general_goal_checker:
stateful: True
plugin: "nav2_controller::SimpleGoalChecker"
xy_goal_tolerance: 0.25
yaw_goal_tolerance: 0.25
# DWB parameters
FollowPath:
plugin: "dwb_core::DWBLocalPlanner"
debug_trajectory_details: True
min_vel_x: 0.0
min_vel_y: 0.0
max_vel_x: 0.50
max_vel_y: 0.0
max_vel_theta: 3.0
min_speed_xy: 0.0
max_speed_xy: 0.50
min_speed_theta: 0.0
# Add high threshold velocity for turtlebot 3 issue.
# https://github.com/ROBOTIS-GIT/turtlebot3_simulations/issues/75
acc_lim_x: 2.5
acc_lim_y: 0.0
acc_lim_theta: 3.2
decel_lim_x: -2.5
decel_lim_y: 0.0
decel_lim_theta: -3.2
vx_samples: 20
vy_samples: 5
vtheta_samples: 20
sim_time: 1.7
linear_granularity: 0.05
angular_granularity: 0.025
transform_tolerance: 0.2
xy_goal_tolerance: 0.25
trans_stopped_velocity: 0.25
short_circuit_trajectory_evaluation: True
stateful: True
critics: ["RotateToGoal", "Oscillation", "BaseObstacle", "GoalAlign", "PathAlign", "PathDist", "GoalDist"]
BaseObstacle.scale: 0.02
PathAlign.scale: 32.0
PathAlign.forward_point_distance: 0.1
GoalAlign.scale: 24.0
GoalAlign.forward_point_distance: 0.1
PathDist.scale: 32.0
GoalDist.scale: 24.0
RotateToGoal.scale: 32.0
RotateToGoal.slowing_factor: 5.0
RotateToGoal.lookahead_time: -1.0
local_costmap:
local_costmap:
ros__parameters:
update_frequency: 5.0
publish_frequency: 2.0
global_frame: odom
robot_base_frame: base_link
use_sim_time: True
rolling_window: true
width: 3
height: 3
resolution: 0.05
robot_radius: 0.20
plugins: ["voxel_layer", "inflation_layer"]
inflation_layer:
plugin: "nav2_costmap_2d::InflationLayer"
cost_scaling_factor: 3.0
inflation_radius: 0.30
voxel_layer:
plugin: "nav2_costmap_2d::VoxelLayer"
enabled: True
publish_voxel_map: True
origin_z: 0.0
z_resolution: 0.05
z_voxels: 16
max_obstacle_height: 2.0
mark_threshold: 0
observation_sources: scan
scan:
topic: /scan
max_obstacle_height: 2.0
clearing: True
marking: True
data_type: "LaserScan"
raytrace_max_range: 3.0
raytrace_min_range: 0.0
obstacle_max_range: 2.5
obstacle_min_range: 0.0
static_layer:
plugin: "nav2_costmap_2d::StaticLayer"
map_subscribe_transient_local: True
always_send_full_costmap: True
global_costmap:
global_costmap:
ros__parameters:
update_frequency: 1.0
publish_frequency: 1.0
global_frame: map
robot_base_frame: base_link
use_sim_time: True
robot_radius: 0.20
resolution: 0.05
track_unknown_space: true
plugins: ["static_layer", "obstacle_layer", "inflation_layer"]
obstacle_layer:
plugin: "nav2_costmap_2d::ObstacleLayer"
enabled: True
observation_sources: scan
scan:
topic: /scan
max_obstacle_height: 2.0
clearing: True
marking: True
data_type: "LaserScan"
raytrace_max_range: 3.0
raytrace_min_range: 0.0
obstacle_max_range: 2.5
obstacle_min_range: 0.0
static_layer:
plugin: "nav2_costmap_2d::StaticLayer"
map_subscribe_transient_local: True
inflation_layer:
plugin: "nav2_costmap_2d::InflationLayer"
cost_scaling_factor: 3.0
inflation_radius: 0.30
always_send_full_costmap: True
map_server:
ros__parameters:
use_sim_time: True
# Overridden in launch by the "map" launch configuration or provided default value.
# To use in yaml, remove the default "map" value in the tb3_simulation_launch.py file & provide full path to map below.
yaml_filename: ""
map_saver:
ros__parameters:
use_sim_time: True
save_map_timeout: 5.0
free_thresh_default: 0.25
occupied_thresh_default: 0.65
map_subscribe_transient_local: True
planner_server:
ros__parameters:
expected_planner_frequency: 20.0
use_sim_time: True
planner_plugins: ["GridBased"]
GridBased:
plugin: "nav2_navfn_planner/NavfnPlanner"
tolerance: 0.5
use_astar: false
allow_unknown: true
smoother_server:
ros__parameters:
use_sim_time: True
smoother_plugins: ["simple_smoother"]
simple_smoother:
plugin: "nav2_smoother::SimpleSmoother"
tolerance: 1.0e-10
max_its: 1000
do_refinement: True
behavior_server:
ros__parameters:
costmap_topic: local_costmap/costmap_raw
footprint_topic: local_costmap/published_footprint
cycle_frequency: 10.0
behavior_plugins: ["backup", "drive_on_heading", "assisted_teleop", "wait"]
backup:
plugin: "nav2_behaviors/BackUp"
drive_on_heading:
plugin: "nav2_behaviors/DriveOnHeading"
wait:
plugin: "nav2_behaviors/Wait"
assisted_teleop:
plugin: "nav2_behaviors/AssistedTeleop"
global_frame: odom
robot_base_frame: base_link
transform_tolerance: 0.3
use_sim_time: true
simulate_ahead_time: 2.0
max_rotational_vel: 1.0
min_rotational_vel: 0.4
rotational_acc_lim: 3.2
robot_state_publisher:
ros__parameters:
use_sim_time: True
waypoint_follower:
ros__parameters:
use_sim_time: True
loop_rate: 20
stop_on_failure: false
waypoint_task_executor_plugin: "wait_at_waypoint"
wait_at_waypoint:
plugin: "nav2_waypoint_follower::WaitAtWaypoint"
enabled: True
waypoint_pause_duration: 200
velocity_smoother:
ros__parameters:
use_sim_time: True
smoothing_frequency: 20.0
scale_velocities: False
feedback: "OPEN_LOOP"
max_velocity: [0.26, 0.0, 1.0]
min_velocity: [-0.26, 0.0, -1.0]
max_accel: [2.5, 0.0, 3.2]
max_decel: [-2.5, 0.0, -3.2]
odom_topic: "odom"
odom_duration: 0.1
deadband_velocity: [0.0, 0.0, 0.0]
velocity_timeout: 1.0

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#!/usr/bin/env python3
"""
小车导航系统启动文件
启动所有必要的硬件和导航节点
"""
import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import IncludeLaunchDescription, DeclareLaunchArgument, TimerAction, LogInfo
from launch.launch_description_sources import PythonLaunchDescriptionSource, FrontendLaunchDescriptionSource
from launch.substitutions import LaunchConfiguration, PathJoinSubstitution, PythonExpression
from launch_ros.actions import Node
from launch_ros.substitutions import FindPackageShare
from launch.conditions import IfCondition, UnlessCondition
def generate_launch_description():
# 获取包路径
cyy_navigation2_dir = get_package_share_directory('cyy_navigation2')
# 声明启动参数
use_base = LaunchConfiguration('use_base', default='true')
use_lidar = LaunchConfiguration('use_lidar', default='true')
use_description = LaunchConfiguration('use_description', default='true')
use_bridge = LaunchConfiguration('use_bridge', default='true')
# 启动参数列表
launch_arguments = [
DeclareLaunchArgument(
'use_base',
default_value='true',
description='启动底盘控制'
),
DeclareLaunchArgument(
'use_lidar',
default_value='true',
description='启动激光雷达'
),
DeclareLaunchArgument(
'use_description',
default_value='true',
description='启动URDF显示'
),
DeclareLaunchArgument(
'use_bridge',
default_value='true',
description='启动ROS Bridge'
),
]
# 创建启动描述
ld = LaunchDescription(launch_arguments)
# 1. 启动底盘控制
base_launch = IncludeLaunchDescription(
PythonLaunchDescriptionSource([
FindPackageShare('origincar_base'), '/launch/base_serial.launch.py'
]),
condition=IfCondition(use_base)
)
# 添加延迟,确保底盘先启动
ld.add_action(TimerAction(
period=1.0,
actions=[LogInfo(msg='启动底盘控制...'), base_launch]
))
# 2. 启动激光雷达
lidar_launch = IncludeLaunchDescription(
PythonLaunchDescriptionSource([
FindPackageShare('lslidar_driver'), '/launch/lsn10_launch.py'
]),
condition=IfCondition(use_lidar)
)
ld.add_action(TimerAction(
period=2.0,
actions=[LogInfo(msg='启动激光雷达...'), lidar_launch]
))
# 3. 启动URDF显示
description_launch = IncludeLaunchDescription(
PythonLaunchDescriptionSource([
FindPackageShare('origincar_description'), '/launch/display.launch.py'
]),
condition=IfCondition(use_description)
)
ld.add_action(TimerAction(
period=3.0,
actions=[LogInfo(msg='启动URDF显示...'), description_launch]
))
# 4. 启动ROS Bridge
bridge_launch = IncludeLaunchDescription(
FrontendLaunchDescriptionSource([
FindPackageShare('rosbridge_server'), '/launch/rosbridge_websocket_launch.xml'
]),
condition=IfCondition(use_bridge)
)
ld.add_action(TimerAction(
period=4.0,
actions=[LogInfo(msg='启动ROS Bridge...'), bridge_launch]
))
return ld

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import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import IncludeLaunchDescription
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
def generate_launch_description():
# =============================1.定位到包的地址=============================================================
cyy_navigation2_dir = get_package_share_directory('cyy_navigation2')
nav2_bringup_dir = get_package_share_directory('nav2_bringup')
slam = LaunchConfiguration('slam', default='True')
# =============================2.声明参数,获取配置文件路径===================================================
# use_sim_time 这里要设置成true,因为gazebo是仿真环境其时间是通过/clock话题获取而不是系统时间
use_sim_time = LaunchConfiguration('use_sim_time', default='false')
map_yaml_path = LaunchConfiguration('map',
default=os.path.join(cyy_navigation2_dir, 'maps', 'cyy_map1.yaml'))
nav2_param_path = LaunchConfiguration('params_file',
default=os.path.join(cyy_navigation2_dir, 'param', 'nav2_params.yaml'))
rviz_config_dir = os.path.join(nav2_bringup_dir, 'rviz', 'nav2_default_view.rviz')
# =============================3.声明启动launch文件传入地图路径、是否使用仿真时间以及nav2参数文件==============
nav2_bringup_launch = IncludeLaunchDescription(
PythonLaunchDescriptionSource([nav2_bringup_dir, '/launch', '/bringup_launch.py']),
launch_arguments={
'map': map_yaml_path,
'use_sim_time': use_sim_time,
'params_file': nav2_param_path,
'slam': slam}.items(),
)
rviz_node = Node(
package='rviz2',
executable='rviz2',
name='rviz2',
arguments=['-d', rviz_config_dir],
parameters=[{'use_sim_time': use_sim_time}],
output='screen')
return LaunchDescription([nav2_bringup_launch])

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import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import IncludeLaunchDescription, DeclareLaunchArgument
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
def generate_launch_description():
# 获取包路径
cyy_navigation2_dir = get_package_share_directory('cyy_navigation2')
nav2_bringup_dir = get_package_share_directory('nav2_bringup')
# 声明参数
use_sim_time = LaunchConfiguration('use_sim_time', default='False')
slam = LaunchConfiguration('slam', default='False')
localization = LaunchConfiguration('localization', default='False')
# 定义文件路径
map_yaml_path = os.path.join(cyy_navigation2_dir, 'maps', 'cyy_map.yaml')
nav2_param_path = os.path.join(cyy_navigation2_dir, 'param', 'nav2_params.yaml')
slam_params_file = os.path.join(cyy_navigation2_dir, 'param', 'slam_toolbox_localization.yaml')
# 定义地图基础路径(用于 .posegraph 文件)
map_base_path = os.path.join(cyy_navigation2_dir, 'maps', 'cyy_map')
# 检查 .posegraph 文件是否存在
posegraph_path = map_base_path + '.posegraph'
if not os.path.exists(posegraph_path):
print(f"警告: .posegraph 文件不存在: {posegraph_path}")
print("将使用 AMCL 替代")
use_slam_toolbox = False
else:
use_slam_toolbox = True
print(f"找到 .posegraph 文件: {posegraph_path}")
# 创建启动描述
ld = LaunchDescription([
DeclareLaunchArgument('use_sim_time', default_value='False'),
DeclareLaunchArgument('slam', default_value='False'),
DeclareLaunchArgument('localization', default_value='False'),
])
# 如果使用 slam_toolbox
if use_slam_toolbox:
slam_toolbox_node = Node(
package='slam_toolbox',
executable='localization_slam_toolbox_node',
name='slam_toolbox',
output='screen',
parameters=[
slam_params_file,
{'use_sim_time': use_sim_time},
{'map_file_name': map_base_path},
{'map_start_pose': [0.0, 0.0, 0.0]}
],
remappings=[('/scan', '/scan')]
)
ld.add_action(slam_toolbox_node)
# 使用 slam_toolbox 时Nav2 不启用定位
localization_arg = 'False'
else:
# 使用 AMCL
localization_arg = 'True'
# Nav2 启动 - 使用正确的路径
nav2_launch_path = os.path.join(nav2_bringup_dir, 'launch', 'bringup_launch.py')
if not os.path.exists(nav2_launch_path):
print(f"错误: 找不到 Nav2 启动文件: {nav2_launch_path}")
return ld
nav2_bringup_launch = IncludeLaunchDescription(
PythonLaunchDescriptionSource(nav2_launch_path),
launch_arguments={
'map': map_yaml_path,
'use_sim_time': use_sim_time,
'params_file': nav2_param_path,
'slam': slam,
'localization': localization_arg,
'autostart': 'True',
}.items(),
)
ld.add_action(nav2_bringup_launch)
return ld

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image: cyy_map.pgm
mode: trinary
resolution: 0.01
origin: [-2.27, -1.63, 0]
negate: 0
occupied_thresh: 0.65
free_thresh: 0.25

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image: cyy_map1.pgm
mode: trinary
resolution: 0.01
origin: [-3.49, -3.24, 0]
negate: 0
occupied_thresh: 0.65
free_thresh: 0.25

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<?xml version="1.0"?>
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
<package format="3">
<name>cyy_navigation2</name>
<version>0.0.0</version>
<description>TODO: Package description</description>
<maintainer email="root@todo.todo">root</maintainer>
<license>TODO: License declaration</license>
<buildtool_depend>ament_cmake</buildtool_depend>
<depend>nav2_bringup</depend>
<test_depend>ament_lint_auto</test_depend>
<test_depend>ament_lint_common</test_depend>
<export>
<build_type>ament_cmake</build_type>
</export>
</package>

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amcl:
ros__parameters:
enabled: False
use_sim_time: True
alpha1: 0.2
alpha2: 0.2
alpha3: 0.2
alpha4: 0.2
alpha5: 0.2
base_frame_id: "base_link"
beam_skip_distance: 0.5
beam_skip_error_threshold: 0.9
beam_skip_threshold: 0.3
do_beamskip: false
global_frame_id: "map"
lambda_short: 0.1
laser_likelihood_max_dist: 2.0
laser_max_range: 100.0
laser_min_range: -1.0
laser_model_type: "likelihood_field"
max_beams: 60
max_particles: 2000
min_particles: 500
odom_frame_id: "odom"
pf_err: 0.05
pf_z: 0.99
recovery_alpha_fast: 0.0
recovery_alpha_slow: 0.0
resample_interval: 1
robot_model_type: "nav2_amcl::DifferentialMotionModel"
save_pose_rate: 0.5
sigma_hit: 0.2
tf_broadcast: true
transform_tolerance: 1.0
update_min_a: 0.2
update_min_d: 0.25
z_hit: 0.5
z_max: 0.05
z_rand: 0.5
z_short: 0.05
scan_topic: scan
bt_navigator:
ros__parameters:
use_sim_time: True
global_frame: map
robot_base_frame: base_link
odom_topic: /odom
bt_loop_duration: 10
default_server_timeout: 20
wait_for_service_timeout: 1000
# 'default_nav_through_poses_bt_xml' and 'default_nav_to_pose_bt_xml' are use defaults:
# nav2_bt_navigator/navigate_to_pose_w_replanning_and_recovery.xml
# nav2_bt_navigator/navigate_through_poses_w_replanning_and_recovery.xml
# They can be set here or via a RewrittenYaml remap from a parent launch file to Nav2.
plugin_lib_names:
- nav2_compute_path_to_pose_action_bt_node
- nav2_compute_path_through_poses_action_bt_node
- nav2_smooth_path_action_bt_node
- nav2_follow_path_action_bt_node
- nav2_spin_action_bt_node
- nav2_wait_action_bt_node
- nav2_assisted_teleop_action_bt_node
- nav2_back_up_action_bt_node
- nav2_drive_on_heading_bt_node
- nav2_clear_costmap_service_bt_node
- nav2_is_stuck_condition_bt_node
- nav2_goal_reached_condition_bt_node
- nav2_goal_updated_condition_bt_node
- nav2_globally_updated_goal_condition_bt_node
- nav2_is_path_valid_condition_bt_node
- nav2_initial_pose_received_condition_bt_node
- nav2_reinitialize_global_localization_service_bt_node
- nav2_rate_controller_bt_node
- nav2_distance_controller_bt_node
- nav2_speed_controller_bt_node
- nav2_truncate_path_action_bt_node
- nav2_truncate_path_local_action_bt_node
- nav2_goal_updater_node_bt_node
- nav2_recovery_node_bt_node
- nav2_pipeline_sequence_bt_node
- nav2_round_robin_node_bt_node
- nav2_transform_available_condition_bt_node
- nav2_time_expired_condition_bt_node
- nav2_path_expiring_timer_condition
- nav2_distance_traveled_condition_bt_node
- nav2_single_trigger_bt_node
- nav2_goal_updated_controller_bt_node
- nav2_is_battery_low_condition_bt_node
- nav2_navigate_through_poses_action_bt_node
- nav2_navigate_to_pose_action_bt_node
- nav2_remove_passed_goals_action_bt_node
- nav2_planner_selector_bt_node
- nav2_controller_selector_bt_node
- nav2_goal_checker_selector_bt_node
- nav2_controller_cancel_bt_node
- nav2_path_longer_on_approach_bt_node
- nav2_wait_cancel_bt_node
- nav2_spin_cancel_bt_node
- nav2_back_up_cancel_bt_node
- nav2_assisted_teleop_cancel_bt_node
- nav2_drive_on_heading_cancel_bt_node
- nav2_is_battery_charging_condition_bt_node
bt_navigator_navigate_through_poses_rclcpp_node:
ros__parameters:
use_sim_time: True
bt_navigator_navigate_to_pose_rclcpp_node:
ros__parameters:
use_sim_time: True
controller_server:
ros__parameters:
use_sim_time: True
controller_frequency: 20.0
min_x_velocity_threshold: 0.001
min_y_velocity_threshold: 0.5
min_theta_velocity_threshold: 0.001
failure_tolerance: 0.3
progress_checker_plugin: "progress_checker"
goal_checker_plugins: ["general_goal_checker"] # "precise_goal_checker"
controller_plugins: ["FollowPath"]
# Progress checker parameters
progress_checker:
plugin: "nav2_controller::SimpleProgressChecker"
required_movement_radius: 0.5
movement_time_allowance: 10.0
# Goal checker parameters
#precise_goal_checker:
# plugin: "nav2_controller::SimpleGoalChecker"
# xy_goal_tolerance: 0.25
# yaw_goal_tolerance: 0.25
# stateful: True
general_goal_checker:
stateful: True
plugin: "nav2_controller::SimpleGoalChecker"
xy_goal_tolerance: 0.25
yaw_goal_tolerance: 6.28
# DWB parameters
FollowPath:
plugin: "dwb_core::DWBLocalPlanner"
debug_trajectory_details: True
min_vel_x: -0.50
min_vel_y: 0.0
max_vel_x: 0.50
max_vel_y: 0.0
max_vel_theta: 1.0
min_speed_xy: 0.0
max_speed_xy: 0.50
min_speed_theta: 0.0
# Add high threshold velocity for turtlebot 3 issue.
# https://github.com/ROBOTIS-GIT/turtlebot3_simulations/issues/75
acc_lim_x: 2.5
acc_lim_y: 0.0
acc_lim_theta: 3.2
decel_lim_x: -2.5
decel_lim_y: 0.0
decel_lim_theta: -3.2
vx_samples: 20
vy_samples: 0
vtheta_samples: 20
sim_time: 1.7
linear_granularity: 0.05
angular_granularity: 0.025
transform_tolerance: 0.2
xy_goal_tolerance: 0.25
trans_stopped_velocity: 0.25
short_circuit_trajectory_evaluation: True
stateful: True
critics: ["RotateToGoal", "Oscillation", "BaseObstacle", "GoalAlign", "PathAlign", "PathDist", "GoalDist"]
BaseObstacle.scale: 0.01
PathAlign.scale: 32.0
PathAlign.forward_point_distance: 0.1
GoalAlign.scale: 24.0
GoalAlign.forward_point_distance: 0.1
PathDist.scale: 32.0
GoalDist.scale: 24.0
RotateToGoal.scale: 32.0
RotateToGoal.slowing_factor: 5.0
RotateToGoal.lookahead_time: -1.0
local_costmap:
local_costmap:
ros__parameters:
update_frequency: 5.0
publish_frequency: 2.0
global_frame: odom
robot_base_frame: base_link
use_sim_time: True
rolling_window: true
width: 3
height: 3
resolution: 0.05
footprint: "[[0.2, 0.15], [0.2, -0.15], [-0.2, -0.15], [-0.2, 0.15]]"
robot_radius: 0.00
plugins: ["voxel_layer", "inflation_layer"]
inflation_layer:
plugin: "nav2_costmap_2d::InflationLayer"
cost_scaling_factor: 3.0
inflation_radius: 0.10
voxel_layer:
plugin: "nav2_costmap_2d::VoxelLayer"
enabled: True
publish_voxel_map: True
origin_z: 0.0
z_resolution: 0.05
z_voxels: 16
max_obstacle_height: 2.0
mark_threshold: 0
observation_sources: scan
scan:
topic: /scan
max_obstacle_height: 2.0
clearing: True
marking: True
data_type: "LaserScan"
raytrace_max_range: 3.0
raytrace_min_range: 0.0
obstacle_max_range: 2.5
obstacle_min_range: 0.0
static_layer:
plugin: "nav2_costmap_2d::StaticLayer"
map_subscribe_transient_local: True
always_send_full_costmap: True
global_costmap:
global_costmap:
ros__parameters:
update_frequency: 1.0
publish_frequency: 1.0
global_frame: map
robot_base_frame: base_link
use_sim_time: True
footprint: "[[0.2, 0.15], [0.2, -0.15], [-0.2, -0.15], [-0.2, 0.15]]"
robot_radius: 0.0
resolution: 0.05
track_unknown_space: true
plugins: ["static_layer", "obstacle_layer", "inflation_layer"]
obstacle_layer:
plugin: "nav2_costmap_2d::ObstacleLayer"
enabled: True
observation_sources: scan
scan:
topic: /scan
max_obstacle_height: 2.0
clearing: True
marking: True
data_type: "LaserScan"
raytrace_max_range: 3.0
raytrace_min_range: 0.0
obstacle_max_range: 2.5
obstacle_min_range: 0.0
static_layer:
plugin: "nav2_costmap_2d::StaticLayer"
map_subscribe_transient_local: True
inflation_layer:
plugin: "nav2_costmap_2d::InflationLayer"
cost_scaling_factor: 3.0
inflation_radius: 0.30
always_send_full_costmap: True
map_server:
ros__parameters:
use_sim_time: True
# Overridden in launch by the "map" launch configuration or provided default value.
# To use in yaml, remove the default "map" value in the tb3_simulation_launch.py file & provide full path to map below.
yaml_filename: ""
map_saver:
ros__parameters:
use_sim_time: True
save_map_timeout: 5.0
free_thresh_default: 0.25
occupied_thresh_default: 0.65
map_subscribe_transient_local: True
planner_server:
ros__parameters:
expected_planner_frequency: 20.0
use_sim_time: True
planner_plugins: ["GridBased"]
GridBased:
plugin: "nav2_navfn_planner/NavfnPlanner"
tolerance: 0.5
use_astar: false
allow_unknown: true
smoother_server:
ros__parameters:
use_sim_time: True
smoother_plugins: ["simple_smoother"]
simple_smoother:
plugin: "nav2_smoother::SimpleSmoother"
tolerance: 1.0e-10
max_its: 1000
do_refinement: True
behavior_server:
ros__parameters:
costmap_topic: local_costmap/costmap_raw
footprint_topic: local_costmap/published_footprint
cycle_frequency: 10.0
behavior_plugins: ["spin", "backup", "drive_on_heading", "assisted_teleop", "wait"]
spin:
plugin: "nav2_behaviors/Spin"
backup:
plugin: "nav2_behaviors/BackUp"
drive_on_heading:
plugin: "nav2_behaviors/DriveOnHeading"
wait:
plugin: "nav2_behaviors/Wait"
assisted_teleop:
plugin: "nav2_behaviors/AssistedTeleop"
global_frame: odom
robot_base_frame: base_link
transform_tolerance: 0.3
use_sim_time: true
simulate_ahead_time: 2.0
max_rotational_vel: 1.0
min_rotational_vel: 0.4
rotational_acc_lim: 3.2
robot_state_publisher:
ros__parameters:
use_sim_time: True
waypoint_follower:
ros__parameters:
use_sim_time: True
loop_rate: 20
stop_on_failure: false
waypoint_task_executor_plugin: "wait_at_waypoint"
wait_at_waypoint:
plugin: "nav2_waypoint_follower::WaitAtWaypoint"
enabled: True
waypoint_pause_duration: 200
velocity_smoother:
ros__parameters:
use_sim_time: True
smoothing_frequency: 20.0
scale_velocities: False
feedback: "OPEN_LOOP"
max_velocity: [0.26, 0.0, 1.0]
min_velocity: [-0.26, 0.0, -1.0]
max_accel: [2.5, 0.0, 3.2]
max_decel: [-2.5, 0.0, -3.2]
odom_topic: "odom"
odom_duration: 0.1
deadband_velocity: [0.0, 0.0, 0.0]
velocity_timeout: 1.0

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slam_toolbox:
ros__parameters:
# 核心模式设置
mode: "localization" # 重要:设置为定位模式
map_file_name: "" # 由启动参数传入
map_start_pose: [0.0, 0.0, 0.0]
# ROS框架设置
odom_frame: "odom"
map_frame: "map"
base_frame: "base_link"
scan_topic: "/scan"
# 求解器设置
solver_plugin: "solver_plugins::CeresSolver"
ceres_linear_solver: "SPARSE_NORMAL_CHOLESKY"
ceres_preconditioner: "SCHUR_JACOBI"
ceres_trust_strategy: "LEVENBERG_MARQUARDT"
ceres_dogleg_type: "TRADITIONAL_DOGLEG"
ceres_loss_function: "None"
# 定位优化参数
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.05
minimum_travel_heading: 0.087
# 扫描处理
scan_buffer_size: 20
throttle_scans: 1
# 回环检测(定位模式可关闭)
do_loop_closing: false
# 搜索参数
link_match_minimum_response_fine: 0.2
link_scan_maximum_distance: 2.0
loop_search_maximum_distance: 5.0
# 性能参数
minimum_time_interval: 0.1
transform_publish_period: 0.02
map_update_interval: 0.5
# 地图参数
resolution: 0.05
max_laser_range: 15.0
min_laser_range: 0.2
# 初始位姿可选可以通过RViz设置
# map_start_pose: [0.0, 0.0, 0.0]
# 调试
debug_logging: false
enable_interactive_mode: true

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# 设置CMake最低版本要求
cmake_minimum_required(VERSION 3.8)
# 定义项目名称应与package.xml中的<name>一致)
project(cyy_slamtoolbox)
# 如果未设置默认使用C++17标准
if(NOT CMAKE_CXX_STANDARD)
set(CMAKE_CXX_STANDARD 17)
endif()
# 查找编译依赖
find_package(ament_cmake REQUIRED)
# 查找slam_toolbox包
find_package(slam_toolbox REQUIRED)
# 查找其他可能的依赖,如传感器消息、几何库等
find_package(rclcpp REQUIRED)
find_package(std_msgs REQUIRED)
find_package(sensor_msgs REQUIRED)
find_package(nav_msgs REQUIRED)
find_package(tf2 REQUIRED)
find_package(tf2_ros REQUIRED)
find_package(geometry_msgs REQUIRED)
# 消息输出,用于调试
message(STATUS "开始配置项目: ${PROJECT_NAME}")
# 包含头文件目录
include_directories(
include
${ament_INCLUDE_DIRS}
)
# 如果有自定义的C++节点源文件,在此添加可执行文件
# 例如如果您有自定义的SLAM处理节点
# add_executable(origincar_slam_node src/origincar_slam_node.cpp)
# ament_target_dependencies(origincar_slam_node
# rclcpp std_msgs sensor_msgs nav_msgs tf2 tf2_ros geometry_msgs slam_toolbox)
#
# 安装目标将可执行文件安装到lib/<package_name>
# install(TARGETS origincar_slam_node
# DESTINATION lib/${PROJECT_NAME})
# 安装launch文件到share/<package_name>/launch目录
install(DIRECTORY launch
DESTINATION share/${PROJECT_NAME}
PATTERN "*.py"
)
# 安装配置文件如YAML参数文件到share/<package_name>/config目录
install(DIRECTORY config
DESTINATION share/${PROJECT_NAME}
PATTERN "*.yaml"
PATTERN "*.yml"
)
# 声明ament包依赖关系确保在package.xml中已声明这些依赖
ament_export_dependencies(slam_toolbox rclcpp std_msgs sensor_msgs nav_msgs tf2 tf2_ros geometry_msgs)
# 必须调用此函数来生成必要的CMake配置
ament_package()

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: angle
type: laser_filters/LaserScanAngularBoundsFilter
params:
lower_angle: -1.52
upper_angle: 1.52

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: box_filter
type: laser_filters/LaserScanBoxFilter
params:
box_frame: base_link
max_x: 0.5
max_y: 0.5
max_z: 0.5
min_x: -0.5
min_y: -0.5
min_z: -0.5
invert: false # activate to remove all points outside of the box

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: footprint_filter
type: laser_filters/LaserScanFootprintFilter
params:
inscribed_radius: 0.325

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: intensity
type: laser_filters/LaserScanIntensityFilter
params:
lower_threshold: 8000.
upper_threshold: 100000.
disp_histogram: 0

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scan_filter_chain:
- name: angle_bounds
type: laser_filters/LaserScanAngularBoundsFilter
params:
# 示例如果您只想处理前方180度的数据可以设置为
lower_angle: -1.57 # 约-90度
upper_angle: 1.57 # 约90度
- name: range_filter
type: laser_filters/LaserScanRangeFilter
params:
# 过滤掉无效的距离值这对于SLAM非常重要
lower_threshold: 0.2 # 忽略小于0.2米的测量(如雷达自身的噪声)
upper_threshold: 20.0 # 忽略大于20.0米的测量(通常是不稳定的数据)
use_message_range_limits: false
- name: interpolation
type: laser_filters/InterpolationFilter
# 此滤波器没有参数它会自动对因过滤产生的无效值如NaN进行插值修复[1](@ref)

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slam_toolbox:
ros__parameters:
# Plugin params
solver_plugin: solver_plugins::CeresSolver
ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
ceres_preconditioner: SCHUR_JACOBI
ceres_trust_strategy: LEVENBERG_MARQUARDT
ceres_dogleg_type: TRADITIONAL_DOGLEG
ceres_loss_function: None
# ROS Parameters
odom_frame: odom
map_frame: map
base_frame: base_footprint
scan_topic: /scan
use_map_saver: true
mode: mapping
# lifelong params
lifelong_search_use_tree: false
lifelong_minimum_score: 0.1
lifelong_iou_match: 0.85
lifelong_node_removal_score: 0.04
lifelong_overlap_score_scale: 0.06
lifelong_constraint_multiplier: 0.08
lifelong_nearby_penalty: 0.001
lifelong_candidates_scale: 0.03
# if you'd like to immediately start continuing a map at a given pose
# or at the dock, but they are mutually exclusive, if pose is given
# will use pose
#map_file_name: test_steve
#map_start_pose: [0.0, 0.0, 0.0]
#map_start_at_dock: true
debug_logging: false
throttle_scans: 1
transform_publish_period: 0.02 #if 0 never publishes odometry
map_update_interval: 5.0
resolution: 0.05
min_laser_range: 0.0 #for rastering images
max_laser_range: 20.0 #for rastering images
minimum_time_interval: 0.5
transform_timeout: 0.2
tf_buffer_duration: 10.
stack_size_to_use: 40000000 #// program needs a larger stack size to serialize large maps
# General Parameters
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.5
minimum_travel_heading: 0.5
scan_buffer_size: 10
scan_buffer_maximum_scan_distance: 10.0
link_match_minimum_response_fine: 0.1
link_scan_maximum_distance: 1.5
loop_search_maximum_distance: 3.0
do_loop_closing: true
loop_match_minimum_chain_size: 10
loop_match_maximum_variance_coarse: 3.0
loop_match_minimum_response_coarse: 0.35
loop_match_minimum_response_fine: 0.45
# Correlation Parameters - Correlation Parameters
correlation_search_space_dimension: 0.5
correlation_search_space_resolution: 0.01
correlation_search_space_smear_deviation: 0.1
# Correlation Parameters - Loop Closure Parameters
loop_search_space_dimension: 8.0
loop_search_space_resolution: 0.05
loop_search_space_smear_deviation: 0.03
# Scan Matcher Parameters
distance_variance_penalty: 0.5
angle_variance_penalty: 1.0
fine_search_angle_offset: 0.00349
coarse_search_angle_offset: 0.349
coarse_angle_resolution: 0.0349
minimum_angle_penalty: 0.9
minimum_distance_penalty: 0.5
use_response_expansion: true
min_pass_through: 2
occupancy_threshold: 0.1

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slam_toolbox:
ros__parameters:
solver_plugin: solver_plugins::CeresSolver
ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
ceres_preconditioner: SCHUR_JACOBI
ceres_trust_strategy: LEVENBERG_MARQUARDT
ceres_dogleg_type: TRADITIONAL_DOGLEG
ceres_loss_function: None
# ROS Parameters
odom_frame: odom
map_frame: map
base_frame: base_link
scan_topic: /scan
mode: localization #localization
# if you'd like to start localizing on bringup in a map and pose
#map_file_name: test_steve
#map_start_pose: [5.0, 1.0, 0.0]
debug_logging: false
throttle_scans: 1
transform_publish_period: 0.02 #if 0 never publishes odometry
map_update_interval: 5.0
resolution: 0.05
min_laser_range: 0.0 #for rastering images
max_laser_range: 20.0 #for rastering images
minimum_time_interval: 0.5
transform_timeout: 0.2
tf_buffer_duration: 30.
stack_size_to_use: 40000000 #// program needs a larger stack size to serialize large maps
# General Parameters
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.5
minimum_travel_heading: 0.5
scan_buffer_size: 3
scan_buffer_maximum_scan_distance: 10.0
link_match_minimum_response_fine: 0.1
link_scan_maximum_distance: 1.5
do_loop_closing: true
loop_match_minimum_chain_size: 3
loop_match_maximum_variance_coarse: 3.0
loop_match_minimum_response_coarse: 0.35
loop_match_minimum_response_fine: 0.45
# Correlation Parameters - Correlation Parameters
correlation_search_space_dimension: 0.5
correlation_search_space_resolution: 0.01
correlation_search_space_smear_deviation: 0.1
# Correlation Parameters - Loop Closure Parameters
loop_search_space_dimension: 8.0
loop_search_space_resolution: 0.05
loop_search_space_smear_deviation: 0.03
loop_search_maximum_distance: 3.0
# Scan Matcher Parameters
distance_variance_penalty: 0.5
angle_variance_penalty: 1.0
fine_search_angle_offset: 0.00349
coarse_search_angle_offset: 0.349
coarse_angle_resolution: 0.0349
minimum_angle_penalty: 0.9
minimum_distance_penalty: 0.5
use_response_expansion: true
min_pass_through: 2
occupancy_threshold: 0.1

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slam_toolbox:
ros__parameters:
# Plugin params
solver_plugin: solver_plugins::CeresSolver
ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
ceres_preconditioner: SCHUR_JACOBI
ceres_trust_strategy: LEVENBERG_MARQUARDT
ceres_dogleg_type: TRADITIONAL_DOGLEG
ceres_loss_function: None
# ROS Parameters
odom_frame: odom
map_frame: map
base_frame: base_footprint
scan_topic: /scan
use_map_saver: true
mode: mapping #localization
debug_logging: false
throttle_scans: 1
transform_publish_period: 0.02 #if 0 never publishes odometry
map_update_interval: 10.0
resolution: 0.05
min_laser_range: 0.0 #for rastering images
max_laser_range: 20.0 #for rastering images
minimum_time_interval: 0.5
transform_timeout: 0.2
tf_buffer_duration: 14400.
stack_size_to_use: 40000000 #// program needs a larger stack size to serialize large maps
enable_interactive_mode: true
# General Parameters
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.5
minimum_travel_heading: 0.5
scan_buffer_size: 10
scan_buffer_maximum_scan_distance: 10.0
link_match_minimum_response_fine: 0.1
link_scan_maximum_distance: 1.5
loop_search_maximum_distance: 3.0
do_loop_closing: true
loop_match_minimum_chain_size: 10
loop_match_maximum_variance_coarse: 3.0
loop_match_minimum_response_coarse: 0.35
loop_match_minimum_response_fine: 0.45
# Correlation Parameters - Correlation Parameters
correlation_search_space_dimension: 0.5
correlation_search_space_resolution: 0.01
correlation_search_space_smear_deviation: 0.1
# Correlation Parameters - Loop Closure Parameters
loop_search_space_dimension: 8.0
loop_search_space_resolution: 0.05
loop_search_space_smear_deviation: 0.03
# Scan Matcher Parameters
distance_variance_penalty: 0.5
angle_variance_penalty: 1.0
fine_search_angle_offset: 0.00349
coarse_search_angle_offset: 0.349
coarse_angle_resolution: 0.0349
minimum_angle_penalty: 0.9
minimum_distance_penalty: 0.5
use_response_expansion: true
min_pass_through: 2
occupancy_threshold: 0.1

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slam_toolbox:
ros__parameters:
# Plugin params
solver_plugin: solver_plugins::CeresSolver
ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
ceres_preconditioner: SCHUR_JACOBI
ceres_trust_strategy: LEVENBERG_MARQUARDT
ceres_dogleg_type: TRADITIONAL_DOGLEG
ceres_loss_function: None
# ROS Parameters
odom_frame: odom
map_frame: map
base_frame: base_link
scan_topic: /scan
use_map_saver: true
mode: mapping #localization
samples: 440
# if you'd like to immediately start continuing a map at a given pose
# or at the dock, but they are mutually exclusive, if pose is given
# will use pose
#map_file_name: test_steve
# map_start_pose: [0.0, 0.0, 0.0]
#map_start_at_dock: true
debug_logging: false
throttle_scans: 5
transform_publish_period: 0.02 #if 0 never publishes odometry
map_update_interval: 0.01
resolution: 0.01
min_laser_range: 0.21 #for rastering images
max_laser_range: 15.0 #for rastering images
minimum_time_interval: 0.1
transform_timeout: 2.0
tf_buffer_duration: 30.
stack_size_to_use: 40000000 #// program needs a larger stack size to serialize large maps
enable_interactive_mode: true
# General Parameters
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.2
minimum_travel_heading: 0.2
scan_buffer_size: 10
samples: 440
scan_buffer_maximum_scan_distance: 10.0
link_match_minimum_response_fine: 0.1
link_scan_maximum_distance: 1.5
loop_search_maximum_distance: 3.0
do_loop_closing: true
loop_match_minimum_chain_size: 10
loop_match_maximum_variance_coarse: 3.0
loop_match_minimum_response_coarse: 0.35
loop_match_minimum_response_fine: 0.45
# Correlation Parameters - Correlation Parameters
correlation_search_space_dimension: 0.5
correlation_search_space_resolution: 0.05
correlation_search_space_smear_deviation: 0.1
# Correlation Parameters - Loop Closure Parameters
loop_search_space_dimension: 8.0
loop_search_space_resolution: 0.05
loop_search_space_smear_deviation: 0.03
# Scan Matcher Parameters
distance_variance_penalty: 0.5
angle_variance_penalty: 1.0
fine_search_angle_offset: 0.00349
coarse_search_angle_offset: 0.349
coarse_angle_resolution: 0.0349
minimum_angle_penalty: 0.9
minimum_distance_penalty: 0.5
use_response_expansion: true
min_pass_through: 2
occupancy_threshold: 0.1

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slam_toolbox:
ros__parameters:
# Plugin params
solver_plugin: solver_plugins::CeresSolver
ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
ceres_preconditioner: SCHUR_JACOBI
ceres_trust_strategy: LEVENBERG_MARQUARDT
ceres_dogleg_type: TRADITIONAL_DOGLEG
ceres_loss_function: None
# ROS Parameters
odom_frame: odom
map_frame: map
base_frame: base_footprint
scan_topic: /scan
use_map_saver: true
mode: mapping #localization
# if you'd like to immediately start continuing a map at a given pose
# or at the dock, but they are mutually exclusive, if pose is given
# will use pose
#map_file_name: test_steve
#map_start_pose: [0.0, 0.0, 0.0]
#map_start_at_dock: true
debug_logging: false
throttle_scans: 1
transform_publish_period: 0.02 #if 0 never publishes odometry
map_update_interval: 5.0
resolution: 0.05
min_laser_range: 0.0 #for rastering images
max_laser_range: 20.0 #for rastering images
minimum_time_interval: 0.5
transform_timeout: 0.2
tf_buffer_duration: 30.
stack_size_to_use: 40000000 #// program needs a larger stack size to serialize large maps
enable_interactive_mode: true
# General Parameters
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.5
minimum_travel_heading: 0.5
scan_buffer_size: 10
scan_buffer_maximum_scan_distance: 10.0
link_match_minimum_response_fine: 0.1
link_scan_maximum_distance: 1.5
loop_search_maximum_distance: 3.0
do_loop_closing: true
loop_match_minimum_chain_size: 10
loop_match_maximum_variance_coarse: 3.0
loop_match_minimum_response_coarse: 0.35
loop_match_minimum_response_fine: 0.45
# Correlation Parameters - Correlation Parameters
correlation_search_space_dimension: 0.5
correlation_search_space_resolution: 0.01
correlation_search_space_smear_deviation: 0.1
# Correlation Parameters - Loop Closure Parameters
loop_search_space_dimension: 8.0
loop_search_space_resolution: 0.05
loop_search_space_smear_deviation: 0.03
# Scan Matcher Parameters
distance_variance_penalty: 0.5
angle_variance_penalty: 1.0
fine_search_angle_offset: 0.00349
coarse_search_angle_offset: 0.349
coarse_angle_resolution: 0.0349
minimum_angle_penalty: 0.9
minimum_distance_penalty: 0.5
use_response_expansion: true
min_pass_through: 2
occupancy_threshold: 0.1

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: mask
type: laser_filters/LaserScanMaskFilter
params:
masks:
laser:
- 100.
- 101.
- 102.
- 103.
- 104.
- 1000.
- 1001.
- 1002.

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
type: laser_filters/LaserArrayFilter
name: median
params:
range_filter_chain:
filter1:
name: median
type: filters/MultiChannelMedianFilterFloat
params:
number_of_observations: 5
unused: 10
intensity_filter_chain:
filter1:
name: median
type: filters/MultiChannelMedianFilterFloat
params:
number_of_observations: 5
unused: 10

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: median_spatial
type: laser_filters/LaserScanMedianSpatialFilter
params:
window_size: 31
filter2:
name: median_filter
type: laser_filters/LaserArrayFilter
params:
range_filter_chain:
filter1:
name: median
type: filters/MultiChannelMedianFilterFloat
params:
number_of_observations: 3

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
type: laser_filters/LaserArrayFilter
name: laser_median_5
params:
range_filter_chain:
filter1:
name: median_5
type: filters/MultiChannelMedianFilterFloat
params:
number_of_observations: 5
unused: 10
intensity_filter_chain:
filter2:
name: median_5
type: filters/MultiChannelMedianFilterFloat
params:
number_of_observations: 5
unused: 10
filter2:
name: intensity
type: laser_filters/LaserScanIntensityFilter
params:
lower_threshold: 8000.
upper_threshold: 100000.
disp_histogram: 0
filter3:
name: shadows
type: laser_filters/ScanShadowsFilter
params:
min_angle: 10.
max_angle: 170.
neighbors: 20
window: 0
filter4:
name: dark_shadows
type: laser_filters/LaserScanIntensityFilter
params:
lower_threshold: 100.
upper_threshold: 10000.
disp_histogram: 0

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: polygon_filter
type: laser_filters/LaserScanPolygonFilter
params:
polygon_frame: base_link
polygon: '[[0.0, 0.0], [0.1, 0.1], [0.1, 0.0], [0.0, -0.1]]'
invert: false
footprint_topic: base_footprint_exclude

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: box_filter
type: laser_filters/LaserScanRangeFilter
params:
use_message_range_limits: false # if not specified defaults to false
lower_threshold: 0.5 # if not specified defaults to 0.0
upper_threshold: 1.0 # if not specified defaults to 100000.0
lower_replacement_value: -.inf # if not specified defaults to NaN
upper_replacement_value: .inf # if not specified defaults to NaN

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: scan_blob_filter
type: laser_filters/ScanBlobFilter
params:
max_radius: 0.25 # maximum radius to be considered as blob object
min_points: 6 # min scan points to be considered as blob object

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: scan_filter
type: laser_filters/LaserScanSectorFilter
params:
angle_min: 2.54 # if not specified defaults to 0.0
angle_max: -2.54 # if not specified defaults to 0.0
range_min: 0.2 # if not specified defaults to 0.0
range_max: 2.0 # if not specified defaults to 100000.0
clear_inside: true # if not specified defaults to true
invert: false # (!clear_inside) if not specified defaults to false

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scan_to_scan_filter_chain:
ros__parameters:
filter1:
name: shadows
type: laser_filters/ScanShadowsFilter
params:
min_angle: 10.
max_angle: 170.
neighbors: 20
window: 1
filter2:
name: dark_shadows
type: laser_filters/LaserScanIntensityFilter
params:
lower_threshold: 100.
upper_threshold: 10000.
disp_histogram: 0

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Panels:
- Class: rviz_common/Displays
Help Height: 78
Name: Displays
Property Tree Widget:
Expanded:
- /Global Options1
- /Status1
Splitter Ratio: 0.5
Tree Height: 154
- Class: rviz_common/Selection
Name: Selection
- Class: rviz_common/Tool Properties
Expanded:
- /2D Goal Pose1
- /Publish Point1
Name: Tool Properties
Splitter Ratio: 0.5886790156364441
- Class: rviz_common/Views
Expanded:
- /Current View1
Name: Views
Splitter Ratio: 0.5
- Class: rviz_common/Time
Experimental: false
Name: Time
SyncMode: 0
SyncSource: ""
- Class: slam_toolbox::SlamToolboxPlugin
Name: SlamToolboxPlugin
Visualization Manager:
Class: ""
Displays:
- Alpha: 0.5
Cell Size: 1
Class: rviz_default_plugins/Grid
Color: 160; 160; 164
Enabled: true
Line Style:
Line Width: 0.029999999329447746
Value: Lines
Name: Grid
Normal Cell Count: 0
Offset:
X: 0
Y: 0
Z: 0
Plane: XY
Plane Cell Count: 10
Reference Frame: <Fixed Frame>
Value: true
Enabled: true
Global Options:
Background Color: 48; 48; 48
Fixed Frame: map
Frame Rate: 30
Name: root
Tools:
- Class: rviz_default_plugins/Interact
Hide Inactive Objects: true
- Class: rviz_default_plugins/MoveCamera
- Class: rviz_default_plugins/Select
- Class: rviz_default_plugins/FocusCamera
- Class: rviz_default_plugins/Measure
Line color: 128; 128; 0
- Class: rviz_default_plugins/SetInitialPose
Covariance x: 0.25
Covariance y: 0.25
Covariance yaw: 0.06853891909122467
Topic:
Depth: 5
Durability Policy: Volatile
History Policy: Keep Last
Reliability Policy: Reliable
Value: /initialpose
- Class: rviz_default_plugins/SetGoal
Topic:
Depth: 5
Durability Policy: Volatile
History Policy: Keep Last
Reliability Policy: Reliable
Value: /goal_pose
- Class: rviz_default_plugins/PublishPoint
Single click: true
Topic:
Depth: 5
Durability Policy: Volatile
History Policy: Keep Last
Reliability Policy: Reliable
Value: /clicked_point
Transformation:
Current:
Class: rviz_default_plugins/TF
Value: true
Views:
Current:
Class: rviz_default_plugins/Orbit
Distance: 10
Enable Stereo Rendering:
Stereo Eye Separation: 0.05999999865889549
Stereo Focal Distance: 1
Swap Stereo Eyes: false
Value: false
Focal Point:
X: 0
Y: 0
Z: 0
Focal Shape Fixed Size: true
Focal Shape Size: 0.05000000074505806
Invert Z Axis: false
Name: Current View
Near Clip Distance: 0.009999999776482582
Pitch: 0.785398006439209
Target Frame: <Fixed Frame>
Value: Orbit (rviz)
Yaw: 0.785398006439209
Saved: ~
Window Geometry:
Displays:
collapsed: false
Height: 846
Hide Left Dock: false
Hide Right Dock: false
QMainWindow State: 000000ff00000000fd000000040000000000000217000002b0fc0200000009fb0000001200530065006c0065006300740069006f006e00000001e10000009b0000005c00fffffffb0000001e0054006f006f006c002000500072006f007000650072007400690065007302000001ed000001df00000185000000a3fb000000120056006900650077007300200054006f006f02000001df000002110000018500000122fb000000200054006f006f006c002000500072006f0070006500720074006900650073003203000002880000011d000002210000017afb000000100044006900730070006c006100790073010000003d00000125000000c900fffffffb0000002000730065006c0065006300740069006f006e00200062007500660066006500720200000138000000aa0000023a00000294fb00000014005700690064006500530074006500720065006f02000000e6000000d2000003ee0000030bfb0000000c004b0069006e0065006300740200000186000001060000030c00000261fb000000220053006c0061006d0054006f006f006c0062006f00780050006c007500670069006e0100000168000001850000018500ffffff000000010000010f000002b0fc0200000003fb0000001e0054006f006f006c002000500072006f00700065007200740069006500730100000041000000780000000000000000fb0000000a00560069006500770073010000003d000002b0000000a400fffffffb0000001200530065006c0065006300740069006f006e010000025a000000b200000000000000000000000200000490000000a9fc0100000001fb0000000a00560069006500770073030000004e00000080000002e10000019700000003000004b00000003efc0100000002fb0000000800540069006d00650100000000000004b0000002eb00fffffffb0000000800540069006d006501000000000000045000000000000000000000017e000002b000000004000000040000000800000008fc0000000100000002000000010000000a0054006f006f006c00730100000000ffffffff0000000000000000
Selection:
collapsed: false
SlamToolboxPlugin:
collapsed: false
Time:
collapsed: false
Tool Properties:
collapsed: false
Views:
collapsed: false
Width: 1200
X: 72
Y: 60

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scan_filter_chain:
- name: speckle_filter
type: laser_filters/LaserScanSpeckleFilter
params:
# Select which filter type to use.
# 0: Range based filtering (distance between consecutive points)
# 1: Euclidean filtering based on radius outlier search
filter_type: 0
# Only ranges smaller than this range are taken into account
max_range: 2.0
# filter_type[0] (Distance): max distance between consecutive points
# filter_type[1] (RadiusOutlier): max distance between points
max_range_difference: 0.1
# filter_type[0] (Distance): Number of consecutive ranges that will be tested for max_distance
# filter_type[1] (RadiusOutlier): Minimum number of neighbors
filter_window: 2

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#!/usr/bin/env python3
from launch import LaunchDescription
from launch_ros.actions import Node
from ament_index_python.packages import get_package_share_directory
import os
def generate_launch_description():
# 获取参数文件路径
pkg_share = get_package_share_directory('cyy_slamtoolbox')
params_file = os.path.join(pkg_share, 'config', 'mapper_params_online_async.yaml')
# 创建SLAM Toolbox节点
slam_toolbox_node = Node(
package='slam_toolbox',
executable='async_slam_toolbox_node', # 或 sync_slam_toolbox_node
name='slam_toolbox',
output='screen',
parameters=[params_file]
)
return LaunchDescription([
slam_toolbox_node
])

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#!/usr/bin/env python3
from launch import LaunchDescription
from launch_ros.actions import Node
from ament_index_python.packages import get_package_share_directory
import os
def generate_launch_description():
# 获取参数文件路径
pkg_share = get_package_share_directory('cyy_slamtoolbox')
params_file = os.path.join(pkg_share, 'config', 'mapper_params_localization.yaml')
# 创建SLAM Toolbox节点
slam_toolbox_node = Node(
package='slam_toolbox',
executable='localization_slam_toolbox_node', # 或 sync_slam_toolbox_node
name='slam_toolbox',
output='screen',
parameters=[params_file]
)
return LaunchDescription([
slam_toolbox_node
])

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from launch import LaunchDescription
from launch_ros.actions import Node
from ament_index_python.packages import get_package_share_directory
import os
def generate_launch_description():
# 假设配置文件路径,你需要根据实际情况修改
config_path = os.path.join(
get_package_share_directory('cyy_slamtoolbox'),
'config',
'angular_filter_example.yaml'
)
laser_filter_node = Node(
package='laser_filters',
executable='scan_to_scan_filter_chain',
name='laser_filter',
output='screen',
parameters=[config_path],
# 重新映射话题:从/base_scan原始数据过滤后发布到/scan
remappings=[('scan', '/base_scan'), ('scan_filtered', '/scan')]
)
return LaunchDescription([laser_filter_node])

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<?xml version="1.0"?>
<?xml-model href="http://download.ros.org/schema/package_format3.xsd" schematypens="http://www.w3.org/2001/XMLSchema"?>
<package format="3">
<name>cyy_slamtoolbox</name>
<version>0.0.0</version>
<description>TODO: Package description</description>
<maintainer email="root@todo.todo">root</maintainer>
<license>TODO: License declaration</license>
<buildtool_depend>ament_cmake</buildtool_depend>
<test_depend>ament_lint_auto</test_depend>
<test_depend>ament_lint_common</test_depend>
<export>
<build_type>ament_cmake</build_type>
</export>
</package>

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cmake_minimum_required(VERSION 3.8)
project(gc_navigation2_real)
if(CMAKE_COMPILER_IS_GNUCXX OR CMAKE_CXX_COMPILER_ID MATCHES "Clang")
add_compile_options(-Wall -Wextra -Wpedantic)
endif()
# find dependencies
find_package(ament_cmake REQUIRED)
install(
DIRECTORY launch config params maps behavior_tree
DESTINATION share/${PROJECT_NAME}
)
if(BUILD_TESTING)
find_package(ament_lint_auto REQUIRED)
set(ament_cmake_copyright_FOUND TRUE)
set(ament_cmake_cpplint_FOUND TRUE)
ament_lint_auto_find_test_dependencies()
endif()
ament_package()

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<!--
阿克曼底盘自定义行为树:移除了 Spin原地旋转
恢复行为改为:清除代价地图 → 后退 → 等待
实车版本 — 与仿真版相同逻辑
-->
<root main_tree_to_execute="MainTree">
<BehaviorTree ID="MainTree">
<RecoveryNode number_of_retries="6" name="NavigateRecovery">
<PipelineSequence name="NavigateWithReplanning">
<RateController hz="1.0">
<RecoveryNode number_of_retries="1" name="ComputePathToPose">
<ComputePathToPose goal="{goal}" path="{path}" planner_id="GridBased"/>
<ClearEntireCostmap name="ClearGlobalCostmap-Context" service_name="global_costmap/clear_entirely_global_costmap"/>
</RecoveryNode>
</RateController>
<RecoveryNode number_of_retries="1" name="FollowPath">
<FollowPath path="{path}" controller_id="FollowPath"/>
<ClearEntireCostmap name="ClearLocalCostmap-Context" service_name="local_costmap/clear_entirely_local_costmap"/>
</RecoveryNode>
</PipelineSequence>
<ReactiveFallback name="RecoveryFallback">
<GoalUpdated/>
<RoundRobin name="RecoveryActions">
<!-- 1. 清除代价地图,去掉短暂障碍 -->
<Sequence name="ClearingActions">
<ClearEntireCostmap name="ClearLocalCostmap-Subtree" service_name="local_costmap/clear_entirely_local_costmap"/>
<ClearEntireCostmap name="ClearGlobalCostmap-Subtree" service_name="global_costmap/clear_entirely_global_costmap"/>
</Sequence>
<!-- 2. 快速后退 0.8m,给重新规划留空间(阿克曼无法原地旋转) -->
<BackUp backup_dist="0.80" backup_speed="0.18"/>
<!-- 3. 短暂等待 0.3s,让新路径规划完成 -->
<Wait wait_duration="0.3"/>
</RoundRobin>
</ReactiveFallback>
</RecoveryNode>
</BehaviorTree>
</root>

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slam_toolbox:
ros__parameters:
# ============================ Solver 插件参数 ======================================
solver_plugin: solver_plugins::CeresSolver
ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
ceres_preconditioner: SCHUR_JACOBI
ceres_trust_strategy: LEVENBERG_MARQUARDT
ceres_dogleg_type: TRADITIONAL_DOGLEG
ceres_loss_function: None
# ============================ ROS 基础参数(实车)===================================
odom_frame: odom_combined # 实车EKF 融合后的里程计坐标系
map_frame: map # 地图坐标系
base_frame: base_footprint # 机器人基座坐标系(与 URDF 根帧一致)
scan_topic: /scan # 激光雷达话题(实车镭神雷达)
use_map_saver: true # 启用地图保存功能
mode: mapping # mapping = 定位 + 实时建图
# ============================ 已有地图加载 ==========================================
# map_file_name: "" # 从零开始建图,留空
map_start_pose: [0.0, 0.0, 0.0] # 初始位姿 [x, y, yaw]
# ============================ 调试与性能 ===========================================
debug_logging: false
throttle_scans: 1 # 每 N 帧处理一次实车每秒10帧左右
transform_publish_period: 0.02 # TF 发布周期(秒)
map_update_interval: 3.0 # /map 话题更新间隔(秒)
resolution: 0.05 # 地图分辨率(米/像素)
restamp_tf: false
min_laser_range: 0.15 # 实车雷达盲区约 0.12m,设 0.15 过滤近处噪点
max_laser_range: 12.0 # 实车雷达最大有效距离(镭神 N10 ≈ 10-15m
minimum_time_interval: 0.3 # 最小处理时间间隔(实车可适当放宽)
transform_timeout: 0.2 # TF 查找超时
tf_buffer_duration: 30.0 # TF 缓冲区时长
stack_size_to_use: 40000000 # 栈大小(序列化大地图需要)
enable_interactive_mode: true # 交互模式:允许外部工具编辑地图
# ============================ 通用建图参数 =========================================
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.3 # 实车最小移动距离(米),小于仿真以更频繁更新
minimum_travel_heading: 0.3 # 最小转向角度(弧度)
check_min_dist_and_heading_precisely: false
scan_buffer_size: 10 # 扫描缓冲区大小
scan_buffer_maximum_scan_distance: 10.0
link_match_minimum_response_fine: 0.1
link_scan_maximum_distance: 1.5
# ============================ 回环检测参数 =========================================
do_loop_closing: true # 启用回环检测
loop_match_minimum_chain_size: 10
loop_match_maximum_variance_coarse: 3.0
loop_match_minimum_response_coarse: 0.35
loop_match_minimum_response_fine: 0.45
loop_search_maximum_distance: 3.0
# ============================ 相关性匹配参数 =======================================
correlation_search_space_dimension: 0.5
correlation_search_space_resolution: 0.01
correlation_search_space_smear_deviation: 0.1
loop_search_space_dimension: 8.0
loop_search_space_resolution: 0.05
loop_search_space_smear_deviation: 0.03
# ============================ 扫描匹配器参数 ========================================
distance_variance_penalty: 0.5
angle_variance_penalty: 1.0
fine_search_angle_offset: 0.00349
coarse_search_angle_offset: 0.349
coarse_angle_resolution: 0.0349
minimum_angle_penalty: 0.9
minimum_distance_penalty: 0.5
use_response_expansion: true
min_pass_through: 2
occupancy_threshold: 0.1

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slam_toolbox:
ros__parameters:
# ============================ Solver 插件参数 ======================================
solver_plugin: solver_plugins::CeresSolver
ceres_linear_solver: SPARSE_NORMAL_CHOLESKY
ceres_preconditioner: SCHUR_JACOBI
ceres_trust_strategy: LEVENBERG_MARQUARDT
ceres_dogleg_type: TRADITIONAL_DOGLEG
ceres_loss_function: None
# ============================ ROS 基础参数(实车定位模式)============================
odom_frame: odom_combined # 实车EKF 融合后的里程计坐标系
map_frame: map
base_frame: base_footprint
scan_topic: /scan
mode: localization # 纯定位模式,不更新地图
# ============================ 已有地图加载 ==========================================
# 由 launch 文件通过 map_file_name 参数传入 .posegraph 路径
# map_file_name: ""
map_start_pose: [0.0, 0.0, 0.0]
# ============================ 调试与性能 ===========================================
debug_logging: false
throttle_scans: 2 # 每2帧处理一次实车激光较慢时使用
transform_publish_period: 0.02
map_update_interval: 5.0
resolution: 0.05
restamp_tf: false
min_laser_range: 0.15 # 过滤雷达盲区噪点
max_laser_range: 12.0 # 实车雷达最大有效距离
minimum_time_interval: 0.3
transform_timeout: 0.2
tf_buffer_duration: 30.0
stack_size_to_use: 40000000
# ============================ 通用参数 =============================================
use_scan_matching: true
use_scan_barycenter: true
minimum_travel_distance: 0.3
minimum_travel_heading: 0.3
check_min_dist_and_heading_precisely: false
scan_buffer_size: 10
scan_buffer_maximum_scan_distance: 10.0
link_match_minimum_response_fine: 0.1
link_scan_maximum_distance: 1.5
# 定位模式关闭回环检测
do_loop_closing: false
loop_match_minimum_chain_size: 10
loop_match_maximum_variance_coarse: 3.0
loop_match_minimum_response_coarse: 0.35
loop_match_minimum_response_fine: 0.45
loop_search_maximum_distance: 3.0
# ============================ 相关性匹配参数 =======================================
correlation_search_space_dimension: 0.5
correlation_search_space_resolution: 0.01
correlation_search_space_smear_deviation: 0.1
loop_search_space_dimension: 8.0
loop_search_space_resolution: 0.05
loop_search_space_smear_deviation: 0.03
# ============================ 扫描匹配器参数 ========================================
distance_variance_penalty: 0.5
angle_variance_penalty: 1.0
fine_search_angle_offset: 0.00349
coarse_search_angle_offset: 0.349
coarse_angle_resolution: 0.0349
minimum_angle_penalty: 0.9
minimum_distance_penalty: 0.5
use_response_expansion: true
min_pass_through: 2
occupancy_threshold: 0.1

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#!/usr/bin/env python3
# ============================================================================
# real_bringup.launch.py
# 功能:实车基础 bringup — 底盘驱动 + 激光雷达 + TF 树
#
# 适用场景:
# - 单独调试底盘通信和传感器数据
# - 遥控测试(无导航)
# - 作为其他 launch 文件的基础模块
#
# 启动内容:
# origincar_base bringup — 串口驱动 + EKF + IMU 滤波 + TF + robot_state_publisher
# lslidar_driver — 镭神激光雷达 → /scan
#
# 使用方式:
# ros2 launch gc_navigation2_real real_bringup.launch.py
# ============================================================================
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import IncludeLaunchDescription, DeclareLaunchArgument
from launch.launch_description_sources import PythonLaunchDescriptionSource
def generate_launch_description():
"""生成 LaunchDescription启动实车底盘 + 雷达 + TF无导航"""
# ============================ 1. 包路径 =========================================
origincar_base_dir = get_package_share_directory('origincar_base')
# ============================ 2. 实车底盘 bringup ===============================
# 注origincar_bringup 已包含 robot_state_publisher + joint_state_publisher + 静态 TF
origincar_bringup = IncludeLaunchDescription(
PythonLaunchDescriptionSource(
[origincar_base_dir, '/launch', '/origincar_bringup.launch.py']),
)
# ============================ 3. 镭神激光雷达驱动 ===============================
lslidar_launch = IncludeLaunchDescription(
PythonLaunchDescriptionSource(
[get_package_share_directory('lslidar_driver'),
'/launch', '/lsn10_launch.py']),
)
# ============================ 4. 组装 LaunchDescription =========================
return LaunchDescription([
DeclareLaunchArgument(
'use_sim_time',
default_value='false',
description='使用仿真时间(实车必须为 false'),
origincar_bringup,
lslidar_launch,
])

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#!/usr/bin/env python3
# ============================================================================
# real_nav2_slam.launch.py
# 功能:实车导航 — 已知静态地图 + SLAM 定位 + Nav2 导航
#
# 架构:
# origincar_base (bringup) — 底盘串口驱动 + EKF 里程计 + IMU 滤波 + TF
# lslidar_driver — 镭神激光雷达驱动 → /scan
# map_server — 加载 yaml+pgm 全量静态地图 → /map
# slam_toolbox (localization) — 加载 .posegraph激光扫描匹配定位
# 发布 map→odom_combined TF替代 AMCL
# ⚠️ /map 话题重映射为 /slam_map避免冲突
# navigation_launch — Nav2 导航栈
# global_costmap 从 /map 获取全量静态地图
#
# 使用方式:
# ros2 launch gc_navigation2_real real_nav2_slam.launch.py
# ============================================================================
import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch.actions import IncludeLaunchDescription, DeclareLaunchArgument
from launch.launch_description_sources import PythonLaunchDescriptionSource
from launch.substitutions import LaunchConfiguration
from launch_ros.actions import Node
def generate_launch_description():
"""生成 LaunchDescription启动实车底盘 + 雷达 + SLAM定位 + Nav2 导航"""
ld = LaunchDescription()
# =============================1. 包路径===========================================
pkg_dir = get_package_share_directory('gc_navigation2_real')
nav2_bringup_dir = get_package_share_directory('nav2_bringup')
origincar_base_dir = get_package_share_directory('origincar_base')
# =============================2. 参数=============================================
use_sim_time = LaunchConfiguration('use_sim_time', default='false')
map_yaml_path = LaunchConfiguration('map', default=os.path.join(
pkg_dir, 'maps', 'my_map.yaml'))
nav2_param_path = LaunchConfiguration('params_file', default=os.path.join(
pkg_dir, 'params', 'gc_navigation_slam_real.yaml'))
slam_params_file = os.path.join(
pkg_dir, 'config', 'slam_toolbox_localization_real.yaml')
posegraph_path = os.path.join(
pkg_dir, 'maps', 'my_map.posegraph')
# =============================3. 实车底盘 bringup ================================
origincar_bringup = IncludeLaunchDescription(
PythonLaunchDescriptionSource(
[origincar_base_dir, '/launch', '/origincar_bringup.launch.py']),
)
# =============================4. 镭神激光雷达驱动 ================================
lslidar_launch = IncludeLaunchDescription(
PythonLaunchDescriptionSource(
[get_package_share_directory('lslidar_driver'),
'/launch', '/lsn10_launch.py']),
)
# =============================5. map_server全量静态地图 ==========================
map_server_node = Node(
package='nav2_map_server',
executable='map_server',
name='map_server',
output='screen',
parameters=[{'yaml_filename': map_yaml_path, 'use_sim_time': False}],
)
map_server_lifecycle = Node(
package='nav2_lifecycle_manager',
executable='lifecycle_manager',
name='lifecycle_manager_map',
output='screen',
parameters=[{'use_sim_time': False, 'autostart': True,
'node_names': ['map_server']}],
)
# =============================6. slam_toolbox 定位模式(替代 AMCL==================
# ⚠️ /map 重映射到 /slam_map避免覆盖 map_server 的全量地图
slam_toolbox_node = Node(
package='slam_toolbox',
executable='localization_slam_toolbox_node',
name='slam_toolbox',
output='screen',
parameters=[slam_params_file,
{'use_sim_time': False,
'map_file_name': posegraph_path}],
remappings=[('/map', '/slam_map')],
)
# =============================7. Nav2 导航栈 =====================================
navigation_launch = IncludeLaunchDescription(
PythonLaunchDescriptionSource(
[nav2_bringup_dir, '/launch', '/navigation_launch.py']),
launch_arguments={
'use_sim_time': use_sim_time,
'params_file': nav2_param_path,
}.items(),
)
# =============================8. 组装=============================================
ld.add_action(origincar_bringup)
ld.add_action(lslidar_launch)
ld.add_action(map_server_node)
ld.add_action(map_server_lifecycle)
ld.add_action(slam_toolbox_node)
ld.add_action(navigation_launch)
return ld

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