ROS创建点云数据并在rviz中显示

最新推荐文章于 2025-04-21 23:50:19 发布

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最新推荐文章于 2025-04-21 23:50:19 发布

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本文详细介绍了如何在ROS(Kinetic)环境中从零开始创建并发布点云数据，包括工程搭建、主函数编辑、CMakeLists配置及rviz可视化展示。通过随机生成点云、构建正方体与圆柱体点云模型，深入理解点云在三维空间中的应用。

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实验环境ROS(kinetic)
1.新建工程

mkdir -p catkin_ws/src
cd catkin_ws/src
catkin_create_pkg chapter6_tutorials pcl_ros roscpp rospy sensor_msgs std_msgs 
cd ..
catkin_make

2.编辑主函数pcl_create.cpp

#include <ros/ros.h> 
#include <pcl/point_cloud.h> 
#include <pcl_conversions/pcl_conversions.h> 
#include <sensor_msgs/PointCloud2.h> 

main (int argc, char **argv) 
{ 
	ros::init (argc, argv, "pcl_create"); 
	
	ros::NodeHandle nh; 
	ros::Publisher pcl_pub = nh.advertise<sensor_msgs::PointCloud2> ("pcl_output", 1);     
	pcl::PointCloud<pcl::PointXYZ> cloud; 
	sensor_msgs::PointCloud2 output; 
	
	// Fill in the cloud data 
	cloud.width = 100; 
	cloud.height = 1; 
	cloud.points.resize(cloud.width * cloud.height); 
	
	for (size_t i = 0; i < cloud.points.size (); ++i)
	 { 
		 cloud.points[i].x = 1024 * rand () / (RAND_MAX + 1.0f); 
		 cloud.points[i].y = 1024 * rand () / (RAND_MAX + 1.0f); 
		 cloud.points[i].z = 1024 * rand () / (RAND_MAX + 1.0f); 
	} 
	
	//Convert the cloud to ROS message 
	pcl::toROSMsg(cloud, output); 
	output.header.frame_id = "odom"; 
	
	ros::Rate loop_rate(1); 
	while (ros::ok()) 
	{ 
		pcl_pub.publish(output);
	    ros::spinOnce(); 
		loop_rate.sleep(); 
	 } 
	return 0; 
}

3.编辑CMakeLists.txt
编辑/chapter6_tutorials/src/chapter6_tutorials路径下CMakeLists.txt加入

find_package(PCL REQUIRED) 
include_directories(include${PCL_INCLUDE_DIRS})
link_directories(${PCL_LIBRARY_DIRS}) 
add_executable(pcl_create src/pcl_create.cpp)
target_link_libraries(pcl_create ${catkin_LIBRARIES} ${PCL_LIBRARIES})

4.编译和在rviz中显示
编译

cd ~/catkin_ws | catkin_make

刷新环境

source ~/catkin_ws/devel/setup.bash

运行

roscore
rosrun chapter6_tutorials pcl_create

打开rviz
在rviz中增加PointCloud2d
topic 选 /pcl_output
fixed Frame 输入odom
如图
在这里插入图片描述 手动创建正方体八个角点，理解点云的空间意义：
代码：

#include <ros/ros.h> 
#include <pcl/point_cloud.h> 
#include <pcl_conversions/pcl_conversions.h> 
#include <sensor_msgs/PointCloud2.h> 

main (int argc, char **argv) 
{ 
	ros::init (argc, argv, "pcl_create"); 
	
	ros::NodeHandle nh; 
	ros::Publisher pcl_pub = nh.advertise<sensor_msgs::PointCloud2> ("pcl_output", 1);     
	pcl::PointCloud<pcl::PointXYZ> cloud; 
	sensor_msgs::PointCloud2 output; 
	
	// Fill in the cloud data 
	cloud.width = 8; 
	cloud.height = 1; //此处也可以为cloud.width = 4; cloud.height = 2; 
	cloud.points.resize(cloud.width * cloud.height); 

cloud.points[0].x = 1; 
cloud.points[0].y = 1; 
cloud.points[0].z = 0; 

cloud.points[1].x = -1; 
cloud.points[1].y = 1; 
cloud.points[1].z = 0; 

cloud.points[2].x = 1; 
cloud.points[2].y = -1; 
cloud.points[2].z = 0;
 
cloud.points[3].x = -1; 
cloud.points[3].y = -1; 
cloud.points[3].z = 0;
 
cloud.points[4].x = 1; 
cloud.points[4].y = 1; 
cloud.points[4].z = 2; 

cloud.points[5].x = -1; 
cloud.points[5].y = 1; 
cloud.points[5].z = 2; 

cloud.points[6].x = 1; 
cloud.points[6].y = -1; 
cloud.points[6].z = 2;
 
cloud.points[7].x = -1; 
cloud.points[7].y = -1; 
cloud.points[7].z = 2; 
	//Convert the cloud to ROS message 
	pcl::toROSMsg(cloud, output); 
	output.header.frame_id = "odom"; 
	
	ros::Rate loop_rate(1); 
	while (ros::ok()) 
	{ 
		pcl_pub.publish(output);
		 ros::spinOnce(); 
		 loop_rate.sleep(); 
	 } 
	return 0; 
}

在这里插入图片描述利用循环嵌套，创建一个正方体

#include <ros/ros.h> 
#include <pcl/point_cloud.h> 
#include <pcl_conversions/pcl_conversions.h> 
#include <sensor_msgs/PointCloud2.h> 

main (int argc, char **argv) 
{ 
	float table[8]={-2,-1.5,-1,-0.5,0.5,1,1.5,2};
    int point_num;
	ros::init (argc, argv, "pcl_create"); 
	
	ros::NodeHandle nh; 
	ros::Publisher pcl_pub = nh.advertise<sensor_msgs::PointCloud2> ("pcl_output", 1);     
	pcl::PointCloud<pcl::PointXYZ> cloud; 
	sensor_msgs::PointCloud2 output; 
	
	// Fill in the cloud data 
	cloud.width = 512; 
	cloud.height = 1; 
	cloud.points.resize(cloud.width * cloud.height); 
	for(int a=0;a<8;++a)
	{
		float width = table[a];
		for(int i=0;i<8;++i)
		{
			float length = table[i];
			for(int c=0;c<8;++c)
			{
				 point_num = a*64+i*8+c;
				 cloud.points[point_num].x = width; 
				 cloud.points[point_num].y = length; 
				 cloud.points[point_num].z = table[c]; 
			}
		}	
	}

	//Convert the cloud to ROS message 
	pcl::toROSMsg(cloud, output); 
	output.header.frame_id = "odom"; 
	
	ros::Rate loop_rate(1); 
	while (ros::ok()) 
	{ 
		 pcl_pub.publish(output);
		 ros::spinOnce(); 
		 loop_rate.sleep(); 
	 } 
	return 0; 
}

在这里插入图片描述
创建一个圆柱体：

#include <ros/ros.h> 
#include <pcl/point_cloud.h> 
#include <pcl_conversions/pcl_conversions.h> 
#include <sensor_msgs/PointCloud2.h> 
#include <cmath>

#define PI 3.1415926535

main (int argc, char **argv) 
{ 
    long point_num;
	ros::init (argc, argv, "pcl_create"); 
	
	ros::NodeHandle nh; 
	ros::Publisher pcl_pub = nh.advertise<sensor_msgs::PointCloud2> ("pcl_output", 1);     
	pcl::PointCloud<pcl::PointXYZ> cloud; 
	sensor_msgs::PointCloud2 output; 
	
	// Fill in the cloud data 
	cloud.width = 360; 
	cloud.height = 21; 
	cloud.points.resize(cloud.width * cloud.height); 

	for(int z=0;z<20;++z)
	{
		for(int loop=0;loop<360;++loop)
		{
			point_num=z*360 + loop;
			float hudu = 180 *loop/PI;
			cloud.points[point_num].x = cos(hudu); 
			cloud.points[point_num].y = sin(hudu); 
			cloud.points[point_num].z = 0.3*(z+1.0f);//或者为0.3*static_cast<float>(z);目地在于int转换为float
		}	
	}
		
	//Convert the cloud to ROS message 
	pcl::toROSMsg(cloud, output); 
	output.header.frame_id = "odom"; 
	
	ros::Rate loop_rate(1); 
	while (ros::ok()) 
	{ 
		pcl_pub.publish(output);
		ros::spinOnce(); 
		loop_rate.sleep(); 
	 } 
	return 0; 
}

在这里插入图片描述