概述
由于tf只能表示机器人相对与全局地图 world的位置关系,而里程计消息不但能表示位置还能够表示向量信息。
里程计消息nav_msgs/Odometry 结构如下
Header header
string child_frame_id
geometry_msgs/PoseWithCovariance pose
geometry_msgs/TwistWithCovariance twist
ROS中可以发布里程计消息,并在rviz中显示。
本文参考wiki上的教程实现在rviz中显示里程计的功能
http://wiki.ros.org/navigation/Tutorials/RobotSetup/Odom
步骤
(1)创建里程计发布节点
(2)在rviz中显示
1.创建里程计发布节点
(1)编译代码
此节点实现的功能是绕原点转圈
代码如下
#include <ros/ros.h>
#include <tf/transform_broadcaster.h>
#include <nav_msgs/Odometry.h>
int main(int argc, char** argv){
ros::init(argc, argv, "odometry");
ros::NodeHandle n;
ros::Publisher odom_pub = n.advertise<nav_msgs::Odometry>("odom", 50);
tf::TransformBroadcaster odom_broadcaster;
double x = 0.0;
double y = 0.0;
double th = 0.0;
double vx = 0.1;
double vy = -0.1;
double vth = 0.1;
ros::Time current_time, last_time;
current_time = ros::Time::now();
last_time = ros::Time::now();
ros::Rate r(1.0);
while(n.ok()){
ros::spinOnce(); // check for incoming messages
current_time = ros::Time::now();
//compute odometry in a typical way given the velocities of the robot
double dt = (current_time - last_time).toSec();
double delta_x = (vx * cos(th) - vy * sin(th)) * dt;
double delta_y = (vx * sin(th) + vy * cos(th)) * dt;
double delta_th = vth * dt;
x += delta_x;
y += delta_y;
th += delta_th;
//since all odometry is 6DOF we'll need a quaternion created from yaw
geometry_msgs::Quaternion odom_quat = tf::createQuaternionMsgFromYaw(th);
//first, we'll publish the transform over tf
geometry_msgs::TransformStamped odom_trans;
odom_trans.header.stamp = current_time;
odom_trans.header.frame_id = "odom";
odom_trans.child_frame_id = "base_link";
odom_trans.transform.translation.x = x;
odom_trans.transform.translation.y = y;
odom_trans.transform.translation.z = 0.0;
odom_trans.transform.rotation = odom_quat;
//send the transform
odom_broadcaster.sendTransform(odom_trans);
//next, we'll publish the odometry message over ROS
nav_msgs::Odometry odom;
odom.header.stamp = current_time;
odom.header.frame_id = "odom";
//set the position
odom.pose.pose.position.x = x;
odom.pose.pose.position.y = y;
odom.pose.pose.position.z = 0.0;
odom.pose.pose.orientation = odom_quat;
//set the velocity
odom.child_frame_id = "base_link";
odom.twist.twist.linear.x = vx;
odom.twist.twist.linear.y = vy;
odom.twist.twist.angular.z = vth;
//publish the message
odom_pub.publish(odom);
last_time = current_time;
r.sleep();
}
}
(2)启动节点
编译的包名为learning_tf 节点为编译好的可执行程序odometry
rosrun learning_tf odometry
2.在rviz中显示
rosrun rviz rviz
在左边Display 配置属性,fixed frame选择为odom,add 选项加入Odemetry,在topic下拉框中选择/odem
3实验结果
是不是发现和http://blog.csdn.net/ktigerhero3/article/details/64906315
中的示例相似,示例中机器人运动发布的就是里程计数据。
最后
以上就是标致犀牛为你收集整理的(六)ROS发布里程计(Odometry)消息并在rviz中显示1.创建里程计发布节点2.在rviz中显示3实验结果的全部内容,希望文章能够帮你解决(六)ROS发布里程计(Odometry)消息并在rviz中显示1.创建里程计发布节点2.在rviz中显示3实验结果所遇到的程序开发问题。
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