ros noetic moveit 将点云话题通过0.11.0版本的open3d进行三角化为一个整体后转换为对应原来点云位姿的环境scene的Python实现函数
时间: 2024-03-09 14:49:49 浏览: 67
ROS三维点云地图转二维地图,功能包
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以下是一个基于Python编写的将点云话题通过Open3D 0.11.0版本进行三角化并转换为对应原来点云位姿的环境scene的实现函数:
```python
import rospy
import open3d as o3d
import numpy as np
from sensor_msgs.msg import PointCloud2
from tf2_sensor_msgs.tf2_sensor_msgs import do_transform_cloud
from geometry_msgs.msg import TransformStamped
def pointcloud_callback(msg):
# 将ROS点云消息转换为Open3D点云格式
pcd = o3d.io.read_point_cloud_from_depth_image(msg)
# 进行三角化
pcd.triangulate_mesh()
# 获取点云的位姿
tf_buffer = tf2_ros.Buffer()
tf_listener = tf2_ros.TransformListener(tf_buffer)
try:
transform = tf_buffer.lookup_transform("target_frame", "source_frame", rospy.Time())
except (tf2_ros.LookupException, tf2_ros.ConnectivityException, tf2_ros.ExtrapolationException):
rospy.logerr("Failed to get transform")
return
# 将点云的位姿转换为Open3D的变换矩阵
trans_matrix = np.array([[transform.transform.rotation.x, transform.transform.rotation.y, transform.transform.rotation.z, transform.transform.translation.x],
[transform.transform.rotation.w, -transform.transform.rotation.z, transform.transform.rotation.y, transform.transform.translation.y],
[-transform.transform.rotation.z, transform.transform.rotation.w, -transform.transform.rotation.x, transform.transform.translation.z],
[0.0, 0.0, 0.0, 1.0]])
# 将点云应用变换矩阵
pcd.transform(trans_matrix)
# 将Open3D点云转换为ROS消息
msg = o3d.io.to_pointcloud2(pcd)
msg.header.stamp = rospy.Time.now()
msg.header.frame_id = "target_frame"
# 发布点云消息
pub.publish(msg)
if __name__ == "__main__":
rospy.init_node("pointcloud_transformer")
rospy.Subscriber("/input_pointcloud", PointCloud2, pointcloud_callback)
pub = rospy.Publisher("/output_pointcloud", PointCloud2, queue_size=1)
rospy.spin()
```
这个函数的输入是ROS中的点云消息,输出也是ROS中的点云消息。其中,我们使用了Open3D 0.11.0版本来进行点云三角化和坐标变换。我们还使用了ROS中的tf2库来获取点云的位姿信息,并将其转换为Open3D的变换矩阵。最后,我们将转换后的点云消息发布出去。
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