feat: init sim_smart_car_bridge — ROS2 bridge relay for Origincar HTTP API
Bridge image (GET /image → sensor_msgs/Image), IMU (GET /imu → sensor_msgs/Imu), and cmd_vel (Twist → POST /cmd) between Origincar simulation and ROS2. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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cyy
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origincar_bridge/__init__.py
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origincar_bridge/__init__.py
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origincar_bridge/bridge_node.py
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origincar_bridge/bridge_node.py
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#!/usr/bin/env python3
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"""
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Origincar ROS2 桥接中转节点
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功能：
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1. 从 HTTP API 拉取图像 (GET /image) → 发布 sensor_msgs/Image 到 ROS2
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2. 从 HTTP API 拉取 IMU (GET /imu) → 发布 sensor_msgs/Imu 到 ROS2
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3. 订阅 ROS2 /cmd_vel (geometry_msgs/Twist) → HTTP POST /cmd 控制小车
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可配置参数：
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- http_host: 仿真机 IP 地址
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- http_port: HTTP 服务端口 (默认 8765)
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- image_topic: 图像发布话题 (默认 /image)
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- imu_topic: IMU 发布话题 (默认 /imu)
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- cmd_vel_topic: 控制指令订阅话题 (默认 /cmd_vel)
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- image_rate: 图像拉取频率 Hz (默认 10.0)
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- imu_rate: IMU 拉取频率 Hz (默认 50.0)
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- timeout: HTTP 请求超时秒数 (默认 1.0)
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使用方式:
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ros2 run origincar_bridge bridge_node --ros-args -p http_host:=192.168.1.100
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ros2 launch origincar_bridge bridge.launch.py http_host:=192.168.1.100
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"""
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import time
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import traceback
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import cv2
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import numpy as np
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import requests
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import rclpy
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from rclpy.node import Node
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from rclpy.parameter import Parameter
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# ROS2 消息
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from sensor_msgs.msg import Image as RosImage
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from sensor_msgs.msg import Imu
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from geometry_msgs.msg import Twist
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from cv_bridge import CvBridge
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class OrigincarBridge(Node):
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"""将 Origincar 仿真 HTTP API 与 ROS2 话题双向桥接。"""
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def __init__(self):
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super().__init__("origincar_bridge")
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# ---------- 声明参数 ----------
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self.declare_parameter("http_host", "192.168.1.100")
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self.declare_parameter("http_port", 8765)
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self.declare_parameter("image_topic", "/image")
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self.declare_parameter("imu_topic", "/imu")
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self.declare_parameter("cmd_vel_topic", "/cmd_vel")
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self.declare_parameter("image_rate", 10.0)
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self.declare_parameter("imu_rate", 50.0)
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self.declare_parameter("timeout", 1.0)
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# 缓读参数（允许运行时通过 ros2 param set 动态调整）
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self._read_params()
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# ---------- cv_bridge ----------
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self.bridge = CvBridge()
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# ---------- 发布者 ----------
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self.image_pub = self.create_publisher(RosImage, self.image_topic, 10)
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self.imu_pub = self.create_publisher(Imu, self.imu_topic, 10)
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# ---------- 订阅者 ----------
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self.cmd_sub = self.create_subscription(
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Twist, self.cmd_vel_topic, self._cmd_vel_callback, 10
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)
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# ---------- 定时器 ----------
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image_period = 1.0 / self.image_rate
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imu_period = 1.0 / self.imu_rate
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self.image_timer = self.create_timer(image_period, self._fetch_and_publish_image)
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self.imu_timer = self.create_timer(imu_period, self._fetch_and_publish_imu)
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# 参数变更回调（运行时动态调参）
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self.add_on_set_parameters_callback(self._on_param_change)
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# 统计
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self._image_seq = 0
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self._imu_seq = 0
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self._cmd_count = 0
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# HTTP Session（连接复用，降低延迟）
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self._session = requests.Session()
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self.get_logger().info(
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f"桥接启动: http://{self.http_host}:{self.http_port}\n"
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f" 图像 [{self.image_topic}] @ {self.image_rate} Hz\n"
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f" IMU [{self.imu_topic}] @ {self.imu_rate} Hz\n"
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f" 控制 [{self.cmd_vel_topic}] → /cmd"
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)
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# ------------------------------------------------------------------
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# 参数管理
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# ------------------------------------------------------------------
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def _read_params(self):
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self.http_host = self.get_parameter("http_host").value
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self.http_port = self.get_parameter("http_port").value
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self.image_topic = self.get_parameter("image_topic").value
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self.imu_topic = self.get_parameter("imu_topic").value
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self.cmd_vel_topic = self.get_parameter("cmd_vel_topic").value
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self.image_rate = self.get_parameter("image_rate").value
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self.imu_rate = self.get_parameter("imu_rate").value
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self.timeout = self.get_parameter("timeout").value
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def _on_param_change(self, params):
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"""运行时参数变更回调。允许动态调整 rate / timeout / host 等。"""
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for p in params:
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if p.name == "http_host":
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self.http_host = p.value
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elif p.name == "http_port":
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self.http_port = p.value
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elif p.name == "image_rate":
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self.image_rate = p.value
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self.image_timer.timer_period_ns = int(1e9 / self.image_rate)
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elif p.name == "imu_rate":
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self.imu_rate = p.value
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self.imu_timer.timer_period_ns = int(1e9 / self.imu_rate)
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elif p.name == "timeout":
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self.timeout = p.value
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elif p.name == "image_topic":
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self.image_topic = p.value
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elif p.name == "imu_topic":
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self.imu_topic = p.value
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elif p.name == "cmd_vel_topic":
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self.cmd_vel_topic = p.value
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return rclpy.parameter.SetParametersResult(successful=True)
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# ------------------------------------------------------------------
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# HTTP 基础方法
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# ------------------------------------------------------------------
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@property
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def _base_url(self) -> str:
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return f"http://{self.http_host}:{self.http_port}"
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def _get(self, endpoint: str):
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"""GET 请求，失败返回 None，打日志。"""
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try:
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r = self._session.get(
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f"{self._base_url}{endpoint}", timeout=self.timeout
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)
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r.raise_for_status()
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return r
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except requests.ConnectionError:
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self.get_logger().warn(
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f"连接仿真机 {self._base_url} 失败，请确认仿真已启动",
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throttle_duration_sec=5.0,
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)
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except requests.Timeout:
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self.get_logger().warn(
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f"请求 {endpoint} 超时 ({self.timeout}s)",
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throttle_duration_sec=5.0,
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)
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except requests.RequestException as e:
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self.get_logger().warn(
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f"请求 {endpoint} 异常: {e}", throttle_duration_sec=5.0
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)
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return None
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def _post(self, endpoint: str, json_data: dict):
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"""POST 请求（不关心返回值）。"""
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try:
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self._session.post(
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f"{self._base_url}{endpoint}",
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json=json_data,
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timeout=self.timeout,
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)
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except requests.RequestException as e:
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self.get_logger().warn(
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f"POST {endpoint} 异常: {e}", throttle_duration_sec=5.0
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)
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# ------------------------------------------------------------------
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# 图像 — GET /image → sensor_msgs/Image
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# ------------------------------------------------------------------
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def _fetch_and_publish_image(self):
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r = self._get("/image")
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if r is None or r.status_code != 200:
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return
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try:
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arr = np.frombuffer(r.content, np.uint8)
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cv_img = cv2.imdecode(arr, cv2.IMREAD_COLOR)
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if cv_img is None:
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self.get_logger().warn("图像解码失败", throttle_duration_sec=5.0)
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return
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msg = self.bridge.cv2_to_imgmsg(cv_img, encoding="bgr8")
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msg.header.stamp = self.get_clock().now().to_msg()
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msg.header.frame_id = "camera_front"
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self.image_pub.publish(msg)
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except Exception:
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self.get_logger().warn(
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f"图像处理异常:\n{traceback.format_exc()}",
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throttle_duration_sec=5.0,
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)
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# ------------------------------------------------------------------
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# IMU — GET /imu → sensor_msgs/Imu
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# ------------------------------------------------------------------
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def _fetch_and_publish_imu(self):
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r = self._get("/imu")
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if r is None or r.status_code != 200:
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return
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try:
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data = r.json()
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msg = Imu()
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msg.header.stamp = self.get_clock().now().to_msg()
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msg.header.frame_id = "imu_link"
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# 姿态四元数
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ori = data.get("orientation", {})
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msg.orientation.w = ori.get("w", 1.0)
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msg.orientation.x = ori.get("x", 0.0)
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msg.orientation.y = ori.get("y", 0.0)
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msg.orientation.z = ori.get("z", 0.0)
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# 角速度 (rad/s)
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av = data.get("angular_velocity", {})
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msg.angular_velocity.x = av.get("x", 0.0)
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msg.angular_velocity.y = av.get("y", 0.0)
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msg.angular_velocity.z = av.get("z", 0.0)
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# 线加速度 (m/s²)
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la = data.get("linear_acceleration", {})
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msg.linear_acceleration.x = la.get("x", 0.0)
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msg.linear_acceleration.y = la.get("y", 0.0)
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msg.linear_acceleration.z = la.get("z", 0.0)
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# 协方差置 -1（表示无估计）
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msg.orientation_covariance[0] = -1.0
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msg.angular_velocity_covariance[0] = -1.0
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msg.linear_acceleration_covariance[0] = -1.0
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self.imu_pub.publish(msg)
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except Exception:
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self.get_logger().warn(
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f"IMU 处理异常:\n{traceback.format_exc()}",
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throttle_duration_sec=5.0,
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)
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# ------------------------------------------------------------------
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# 控制 — ROS2 /cmd_vel → POST /cmd
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# ------------------------------------------------------------------
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def _cmd_vel_callback(self, msg: Twist):
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"""将 Twist 消息转换为 HTTP /cmd 控制指令。
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Twist.linear.x → speed (m/s)
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Twist.angular.z → steer (rad)
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"""
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speed = float(msg.linear.x)
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steer = float(msg.angular.z)
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self._post("/cmd", {"speed": speed, "steer": steer})
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self._cmd_count += 1
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self.get_logger().debug(
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f"发送控制: speed={speed:.2f}, steer={steer:.2f}"
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f" (总计 {self._cmd_count})"
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)
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def destroy_node(self):
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"""关闭 HTTP Session 后再销毁节点。"""
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self._session.close()
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super().destroy_node()
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# ------------------------------------------------------------------
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# entry point
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# ------------------------------------------------------------------
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def main():
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rclpy.init()
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node = OrigincarBridge()
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try:
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rclpy.spin(node)
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except KeyboardInterrupt:
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node.get_logger().info("键盘中断，停止桥接")
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finally:
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node.destroy_node()
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rclpy.shutdown()
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if __name__ == "__main__":
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main()
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