第一个程序是加载PCD数据文件,第二个程序是接收点云数据并写入pcd文档.
pcl_write.cpp:
4.运行
1.pcl_load.cpp
- #include<ros/ros.h>
- #include<pcl/point_cloud.h>
- #include<pcl_conversions/pcl_conversions.h>
- #include<sensor_msgs/PointCloud2.h>
- #include<pcl/io/pcd_io.h>//which contains the required definitions to load and store point clouds to PCD and other file formats.
- main (int argc, char **argv)
- {
- ros::init (argc, argv, "UandBdetect");
- ros::NodeHandle nh;
- ros::Publisher pcl_pub = nh.advertise<sensor_msgs::PointCloud2> ("pcl_output", 1);
- pcl::PointCloud<pcl::PointXYZ> cloud;
- sensor_msgs::PointCloud2 output;
- pcl::io::loadPCDFile ("/home/shuning/catkin_ws/src/imgpcl/data/test_pcd.pcd", cloud);
- //Convert the cloud to ROS message
- pcl::toROSMsg(cloud, output);
- output.header.frame_id = "odom";//this has been done in order to be able to visualize our PointCloud2 message on the RViz visualizer
- ros::Rate loop_rate(1);
- while (ros::ok())
- {
- pcl_pub.publish(output);
- ros::spinOnce();
- loop_rate.sleep();
- }
- return 0;
- }
- #include<ros/ros.h>
- #include<pcl/point_cloud.h>
- #include<pcl_conversions/pcl_conversions.h>
- #include<sensor_msgs/PointCloud2.h>
- #include<pcl/io/pcd_io.h>
- void cloudCB(const sensor_msgs::PointCloud2 &input)
- {
- pcl::PointCloud<pcl::PointXYZ> cloud;
- pcl::fromROSMsg(input, cloud);//从ROS类型消息转为PCL类型消息
- pcl::io::savePCDFileASCII ("/home/shuning/catkin_ws/src/imgpcl/data/write_pcd_test.pcd", cloud);//保存pcd
- }
- main (int argc, char **argv)
- {
- ros::init (argc, argv, "pcl_write");
- ros::NodeHandle nh;
- ros::Subscriber bat_sub = nh.subscribe("pcl_output", 10, cloudCB);//接收点云
- ros::spin();
- return 0;
- }
2.test_pcd.pcd"
部分数据如下
FIELDS x y z intensity distance sid
SIZE 4 4 4 4 4 4
TYPE F F F F F F
COUNT 1 1 1 1 1 1
WIDTH 460400
HEIGHT 1
POINTS 460400
DATA ascii
-0.93387 -0.6825 -1.1865 12 1.485 7
-0.93173 -0.68323 -1.1878 10 1.485 8
-0.92185 -0.68054 -1.1831 10 1.475 10
-0.91748 -0.67961 -1.1815 10 1.471 11
-0.91479 -0.6799 -1.182 12 1.47 12
-0.90031 -0.68289 -1.1872 10 1.467 18
-0.89271 -0.67941 -1.1811 12 1.457 19
-0.87805 -0.67048 -1.1656 8 1.434 20
3.编译
cd catkin_ws
source devel/setup.bash
catkin_make
4.运行
roscore
rosrun imgpcl pcl_load
rosrun imgpcl pcl_write
rosrun rviz rviz
5.Rviz的配置
点击Add,添加pointcloud2,
Fixed Frame设置为odom.
Topic 设置为/pcl_output