增加局域网发布消息+全图+锥桶

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# Origincar Simulation
基于 MotrixSim 的阿克曼小车仿真,支持键盘控制和 HTTP API 局域网共享。
## 启动
```bash
uv run mxpython main.py
```
## HTTP API端口 8765
仿真启动后,局域网内其他设备可通过 HTTP 获取摄像头图像、IMU 数据和发送控制指令。
### GET `/image`
获取前置摄像头最新 JPEG 图像。浏览器可直接打开。
```bash
# 浏览器
http://<仿真机IP>:8765/image
# curl
curl http://192.168.1.100:8765/image -o frame.jpg
# Python
import requests
r = requests.get("http://192.168.1.100:8765/image")
with open("frame.jpg", "wb") as f:
f.write(r.content)
```
### GET `/state`
获取小车当前状态JSON
```bash
curl http://192.168.1.100:8765/state
```
返回示例:
```json
{
"x": -2.0,
"y": -2.3,
"z": 0.08,
"yaw_deg": 0.0,
"speed_target": 1.0,
"speed_actual": 0.98,
"steer_target": 0.0,
"speed_amp": 1.0,
"steer_amp": 0.35
}
```
### GET `/imu`
获取 IMU 数据(含 MPU6050 噪声JSON。
```bash
curl http://192.168.1.100:8765/imu
```
返回示例:
```json
{
"orientation": {"w": 1.0, "x": 0.0, "y": 0.0, "z": 0.0},
"angular_velocity": {"x": 0.001, "y": -0.003, "z": 0.008},
"linear_acceleration": {"x": 0.02, "y": -0.01, "z": 9.81}
}
```
噪声参数MPU6050 级别):
- 陀螺仪白噪声 σ = 0.01 rad/sbias 随机游走
- 加速度计白噪声 σ = 0.05 m/s²bias 随机游走
### POST `/cmd`
发送控制指令JSON
```bash
curl -X POST http://192.168.1.100:8765/cmd \
-H "Content-Type: application/json" \
-d '{"speed": 1.0, "steer": 0.3}'
```
| 字段 | 类型 | 说明 |
|------|------|------|
| `speed` | float | 目标速度 m/s正=前进,负=后退 |
| `steer` | float | 目标转向角 rad正=左转,负=右转 |
**Python 客户端示例**
```python
import time
import requests
IP = "192.168.1.100"
# 获取图像
r = requests.get(f"http://{IP}:8765/image")
with open("frame.jpg", "wb") as f:
f.write(r.content)
# 获取状态
state = requests.get(f"http://{IP}:8765/state").json()
print(f"位置: ({state['x']}, {state['y']}), 速度: {state['speed_actual']} m/s")
# 发送控制指令
requests.post(f"http://{IP}:8765/cmd", json={"speed": 1.0, "steer": 0.2})
time.sleep(2)
requests.post(f"http://{IP}:8765/cmd", json={"speed": 0.0, "steer": 0.0})
```
**ROS2 桥接示例**
```python
import rclpy
from rclpy.node import Node
from sensor_msgs.msg import Image as RosImage
from geometry_msgs.msg import Twist
from cv_bridge import CvBridge
import requests
import numpy as np
import cv2
IP = "192.168.1.100"
class OrigincarBridge(Node):
def __init__(self):
super().__init__("origincar_bridge")
self.bridge = CvBridge()
self.pub = self.create_publisher(RosImage, "/image", 10)
self.sub = self.create_subscription(Twist, "/cmd_vel", self.cmd_cb, 10)
self.timer = self.create_timer(0.1, self.fetch_and_publish)
def fetch_and_publish(self):
r = requests.get(f"http://{IP}:8765/image", timeout=1)
if r.status_code == 200:
arr = np.frombuffer(r.content, np.uint8)
cv_img = cv2.imdecode(arr, cv2.IMREAD_COLOR)
msg = self.bridge.cv2_to_imgmsg(cv_img, "bgr8")
self.pub.publish(msg)
def cmd_cb(self, msg: Twist):
requests.post(f"http://{IP}:8765/cmd", json={
"speed": msg.linear.x,
"steer": msg.angular.z
})
rclpy.init()
node = OrigincarBridge()
rclpy.spin(node)
```
## 键盘控制
| 按键 | 方式 | 作用 |
|------|------|------|
| W/S | 按住 | 前进/后退 |
| A/D | 按住 | 左转/右转 |
| ↑/↓ | 点按 | 速度幅度 ±0.2 m/s0~2.0 |
| ←/→ | 点按 | 转向幅度 ±0.05 rad0~0.5 |
| Space | 点按 | 截图保存到 `captures/` |
键盘与 HTTP `/cmd` 可同时使用:按住 W/A/S/D 时键盘优先,松开后自动切回 HTTP 控制。
## 场景结构
```
scene.xml — 5m×5m 地图 + 40cm 白色围栏 + 阿克曼小车
main.py — 仿真控制 + HTTP API 服务
origincar.urdf / origincar.xacro — 小车模型(参考)
```