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YDLIDAR 4ROS LiDAR📖
01.Linux basic course
  • 1.Introduction to Linux system
  • 2.Ubuntu file system
  • 3.Ubuntu common commands
  • 4.Ubuntu common editors
  • 5.Ubuntu software operation commands
  • 6.Virtual machine installation
  • 7.SSH remote control
  • 8.VNC remote control
  • 9.Transfer files remotely
  • 10.Driver library and communication
  • 11.Static IP and hotspot mode
  • 12.Bind device ID
  • 13.Capacity expansion and resource allocation
  • 14.Update system software sources
  • 15.Set root user password
  • 16.sudo free password
  • 17.Connect to WiFi network
  • 18.View system version
  • 19.Customized service management
  • 20.Back up system image
02.ROS1 basic course
  • 1.ROS introduction
  • 2.ROS installation
  • 3.ROS common command tools
  • 4.ROS workspace
  • 5.ROS function package
  • 6.ROS node
  • 7.ROS topic publisher
  • 8.ROS topic subscribers
  • 9.ROS service client
  • 10.ROS service server
  • 11.ROS action client
  • 12.ROS action server
  • 13.ROS custom message reception
  • 14.ROS-launch file
  • 15.ROS-TF transformation
  • 16.ROS parameter service
  • 17.ROS-rviz use
  • 18.ROS-rqt tool usage
  • 19.Topic message recording and playback
  • 20.urdf model introduction
  • 21.gazebo introduction
  • 22.ROS distributed communication
03.ROS1 lidar course
  • 0.Instructions before use
  • 1.Preparation
  • 2.Handheld lidar mapping
  • 3.Lidar avoiding
  • 4.Lidar guard
  • 5.Lidar follow
  • 6.Lidar mapping
  • 7.rrt_exploration mapping algorithm
  • 8.Navigation
  • 9.APP Mapping and Navigation
  • 10.RTAB 3D mapping and navigation
04.ROS2 basic course
  • 1. Introduction to ROS2
  • 2.ROS2 install Humble
  • 3.ROS2 development environment
  • 4.ROS2 workspace
  • 5.ROS2 function package
  • 6.ROS2 node
  • 7.ROS2 topic communication
  • 8.ROS2 service communication
  • 9.ROS2 action communication
  • 10.ROS2 custom interface message
  • 11.ROS2 parameter service case
  • 12.ROS2 meta-function package
  • 13.ROS2 distributed communication
  • 14.ROS2 DDS
  • 15.ROS2 time related API
  • 16.ROS2 common command tools
  • 17.ROS2 rviz2 use
  • 18.ROS2 rqt toolbox
  • 19.ROS2 Launch startup file configuration
  • 20.ROS2 recording and playback tool
  • 21.ROS2 URDF model
  • 22.ROS2 Gazebo simulation platform
  • 23.ROS2 TF2 coordinate transformation
05.ROS2 lidar course
  • 0.ReadMe
  • 1.Preparation
  • 2.Handheld lidar mapping
  • 3.Lidar avoiding
  • 4.Lidar follow
  • 5.Lidar guard
  • 6.Lidar patrol
  • 7.gmapping mapping
  • 8.cartographer mapping
  • 9.Navigation and avoiding
  • 10.APP Mapping and Navigation
  • 11.RTAB 3D mapping and navigation
06.RPi 5 Docker course
  • 1.Overview and installation
  • 2.Common commands
  • 3.Understand and publish images
  • 4.Hardware interaction data processing
  • 5.Enter docker container
  • 6.Update docker images
  • 7.Docker container to install ROS using accessories
Download
  • ROS1-Code
  • ROS1-VMFile
  • ROS2-Code
  • ROS2-VMFile
  • Other File
  • ROS2_Basic_VM
Download ZIP

Welcome to YDLIDAR 4ROS LiDAR repository

6.Lidar patrol

Lidar patrol

This chapter needs to be used with a car chassis and other sensors to operate. This is just an explanation of the implementation method. In fact, it cannot be run. It needs to be used with the company's rosmaster-X3 car to achieve this function.

If you need to transplant it to your own motherboard, you need to install other dependency files.

1. Function description

After the program is started, the car moves according to the set patrol route.

During operation, the radar works simultaneously and will stop if an obstacle is detected within the detection range.

2. Code path

The source code of this function is located in the supporting virtual machine system.

​x
~/ydlidar_ws/src/yahboomcar_bringup/yahboomcar_bringup/patrol_a1_X3.py

3. Start up

Input following command:

xxxxxxxxxx
ros2 run yahboomcar_bringup Mcnamu_driver_X3
ros2 launch rplidar_ros lidar.launch.py
ros2 run yahboomcar_bringup patrol_a1_X3

Enter the following command to open the parameter adjuster.

xxxxxxxxxx
ros2 run rqt_reconfigure rqt_reconfigure

image-20231111122549854

After starting the program, enter any of the following routes in the [Command] column on the GUI interface of the dynamic parameter adjuster:

  • LengthTest: straight line test
  • Circle: circular route patrol
  • Square: Square route patrol
  • Triangle: Triangular route patrol

After selecting the route, click on the blank space to write the parameters, and then click the [Switch] button to start patrolling. After an exercise is completed, if [Set_loop] is checked, the last route will be cycled for patrol, otherwise it will stop after completing a patrol.

4. Code analysis

patrol_a1_X3.py

The role of the lidar is to detect obstacles ahead and stop the car after scanning the obstacles.

xxxxxxxxxx
def LaserScanCallback(self,scan_data):
    if self.ResponseDist == 0: return
    ranges = np.array(scan_data.ranges)
    sortedIndices = np.argsort(ranges)
    self.warning = 1
    for i in range(len(ranges)):
        angle = (scan_data.angle_min + scan_data.angle_increment * i) * RAD2DEG
        if abs(angle) > (180 - self.LaserAngle):
            if ranges[i] < self.ResponseDist: self.warning += 1
if self.Joy_active or self.warning > 10:
    if self.moving == True:
        self.pub_cmdVel.publish(Twist())
        self.moving = False
        print("obstacles")
    else:
        #print("Go")
        self.pub_cmdVel.publish(move_cmd)
self.moving = True
return False

 

Lidar guard
gmapping mapping

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