70 lines
2.4 KiB
Python
Executable File
70 lines
2.4 KiB
Python
Executable File
#!/usr/bin/env python3
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import rclpy
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from rclpy.node import Node
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from tf2_ros.buffer import Buffer
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from tf2_ros.transform_listener import TransformListener
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from std_msgs.msg import Float64
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import math
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class CameraHeightMonitor(Node):
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"""节点用于监控RGB相机相对于世界坐标系的高度"""
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def __init__(self):
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super().__init__('camera_height_monitor')
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# 创建TF2缓冲区和监听器
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self.tf_buffer = Buffer()
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self.tf_listener = TransformListener(self.tf_buffer, self)
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# 创建发布器，发布高度信息到专门的话题
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self.height_publisher = self.create_publisher(
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Float64, 'rgb_camera_height', 10)
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# 创建定时器，定期查询转换
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timer_period = 0.1 # 10 Hz
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self.timer = self.create_timer(timer_period, self.timer_callback)
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self.get_logger().info('RGB相机高度监测节点已启动')
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def timer_callback(self):
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"""定时器回调函数，查询并发布相机高度"""
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try:
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# 查询从world坐标系到RGB_camera_link的变换
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# 根据您的系统，可能需要修改坐标系名称
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transform = self.tf_buffer.lookup_transform(
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'vodom', # 目标坐标系（通常是世界坐标系）
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'RGB_camera_link', # 源坐标系（相机坐标系）
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rclpy.time.Time()) # 获取最新的变换
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# 提取z轴值，即高度
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camera_height = transform.transform.translation.z
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# 创建Float64消息并发布
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height_msg = Float64()
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height_msg.data = camera_height
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self.height_publisher.publish(height_msg)
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# 打印高度信息
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self.get_logger().info(f'RGB相机当前高度: {camera_height:.3f} 米')
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except Exception as e:
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# 如果找不到变换，记录错误但不中断执行
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self.get_logger().warning(f'无法获取RGB相机的高度: {str(e)}')
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def main(args=None):
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rclpy.init(args=args)
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camera_height_monitor = CameraHeightMonitor()
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try:
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rclpy.spin(camera_height_monitor)
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except KeyboardInterrupt:
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pass
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finally:
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# 清理并关闭节点
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camera_height_monitor.destroy_node()
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rclpy.shutdown()
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if __name__ == '__main__':
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main() |