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SLAM LiDAR📖
01.Version differences
  • 1.About SLAM Lidar
02.SLAM Lidar (A1, A2, S1, S2, S3, C1)
  • 1.How to use lidar
03.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
04.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
05.ROS1 lidar course
  • 0.ReadMe
  • 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 and avoiding
  • 9.APP Mapping and Navigation
  • 10.RTAB 3D mapping and navigation
06.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
07.ROS2 lidar course
  • 0.ReadMe
  • 1.Preparation
  • 2.Handheld lidar mapping
  • 3.Lidar avoiding
  • 4.Lidar follow
  • 5.Lidar guard
  • 6.gmapping mapping
  • 7.cartographer mapping
  • 8.Navigation and avoiding
  • 9.APP Mapping and Navigation
  • 10.RTAB 3D mapping and navigation
  • 11.Lidar patrol
08.Mapper M2 lidar course
  • 1.How to use M2M2lidar
09.High-speed version A1 lidar usage tutorial
  • 1.Preparation before using the high-speed version of A1 lidar
10.RaspberryPi5 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
  • Code
  • VM File
  • Data Sheet
  • Just for Mapper M2 Lidar
  • Model File
  • PC_Software
  • ROS2_Basic_VM
Download ZIP

Welcome to SLAM LiDAR repository

2.Handheld lidar mapping

2.Handheld lidar mapping

This function needs to start the program in the slam_gmapping function package. The source code is located in the [rplidar_ws] source code file.

Here we use the supporting virtual machine to explain how to start the program. If you want to put it on your own motherboard, you need to put [slam_gmapping] and [openslam_gmapping] in the src directory of the workspace to compile.

2.1 Start gmapping mapping

Input following command:

ros2 launch rplidar_ros  test_gmapping.launch.py

image-20231110185529036

rviz displays as follows:

image-20231110185600881

2.2 View node communication

Input following command:

xxxxxxxxxx
ros2 run rqt_graph rqt_graph

image-20231110185656513

2.3 View TF tree

Input following command:

xxxxxxxxxx
ros2 run tf2_tools view_frames.py

image-20231109113239058

In the directory where the command terminal is started, the system will generate a frames.pdf file, which is the generated TF tree.

image-20231110185744698

2.4 launch file analysis

File path (combined with virtual machine):

xxxxxxxxxx
/home/yahboom/rplidar_ws/src/rplidar_ros-dev-ros2/launch/test_gmapping.launch.py

test_gmapping.launch.py

​x
from launch import LaunchDescription
from launch_ros.actions import Node 
import os
from launch.actions import IncludeLaunchDescription
from launch.conditions import LaunchConfigurationEquals,LaunchConfigurationNotEquals
from launch.launch_description_sources import PythonLaunchDescriptionSource,AnyLaunchDescriptionSource
from ament_index_python.packages import get_package_share_directory
from launch.actions import DeclareLaunchArgument
import os

def generate_launch_description():
    LIDAR_TYPE = os.getenv('LIDAR_TYPE')
    lidar_type_arg = DeclareLaunchArgument(name='lidar_type', default_value=LIDAR_TYPE, description='The type of lidar')
    
    lidar_launch = IncludeLaunchDescription(PythonLaunchDescriptionSource([os.path.join(get_package_share_directory('rplidar_ros'), 'launch'),'/lidar.launch.py']))
    
    s2_gmapping_launch = IncludeLaunchDescription(PythonLaunchDescriptionSource([os.path.join(get_package_share_directory('slam_gmapping'), 'launch'),'/s2_gmapping_launch.py']),condition=LaunchConfigurationEquals('lidar_type', 's2'))
    
    gmapping_launch = IncludeLaunchDescription(PythonLaunchDescriptionSource([os.path.join(get_package_share_directory('slam_gmapping'), 'launch'),'/gmapping_launch.py']),condition=LaunchConfigurationNotEquals('lidar_type', 's2'))
    
    s2_slam_gmapping_launch = IncludeLaunchDescription(PythonLaunchDescriptionSource([os.path.join(get_package_share_directory('slam_gmapping'), 'launch'),'/s2_slam_gmapping.launch.py']),condition=LaunchConfigurationEquals('lidar_type', 's2'))
    
    slam_gmapping_launch = IncludeLaunchDescription(PythonLaunchDescriptionSource([os.path.join(get_package_share_directory('slam_gmapping'), 'launch'),'/slam_gmapping.launch.py']),condition=LaunchConfigurationNotEquals('lidar_type', 's2'))
    
    
    return LaunchDescription([
        lidar_type_arg,
        lidar_launch,
        s2_gmapping_launch,
        s2_slam_gmapping_launch,
        gmapping_launch,
        slam_gmapping_launch
    ])                               

[lidar_type_arg] Gets the value of [LIDAR_TYPE] set in the environment variable, and starts the corresponding lidar and corresponding mapping instructions based on this value.

[lidar_launch] launch lidar launch file, the file is located at /home/yahboom/rplidar_ws/src/rplidar_ros-dev-ros2/launch/lidar.launch.py

[s2_gmapping_launch] Start S2/S2L lidar gmapping mapping. Here you need to remap the lidar topic into a filtered lidar topic. The file is located

/home/yahboom/rplidar_ws/src/slam_gmapping/launch/s2_gmapping_launch.py

[s2_slam_gmapping_launch] Release some necessary static TF transformations and startup rviz for S2/S2L mapping lidar. The file is located at /home/yahboom/rplidar_ws/src/slam_gmapping/launch/s2_slam_gmapping.launch.py

[gmapping_launch] Other lidar gmapping mapping, the file is located in /home/yahboom/rplidar_ws/src/slam_gmapping/launch/gmapping_launch.py

[slam_gmapping_launch] Release some necessary static TF transformations and launch rviz for other lidar mapping. The file is located at /home/yahboom/rplidar_ws/src/slam_gmapping/launch/slam_gmapping.launch.py

 

Preparation
Lidar avoiding

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