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操作指南

此SDK仅适用于深圳乐动机器人有限公司销售的激光雷达产品，产品型号为:

• LDROBOT LiDAR LD14

0. 获取雷达的ROS2功能包

cd ~

mkdir -p ldlidar_ros2_ws/src

cd ldlidar_ros2_ws/src

git clone  https://github.com/ldrobotSensorTeam/ldlidar_sl_ros2.git
# 或者
git clone  https://gitee.com/ldrobotSensorTeam/ldlidar_sl_ros2.git

1. 系统设置

• 第一步，通过板载串口或者USB转串口模块(例如,cp2102模块)的方式使雷达连接到你的系统主板.
• 第二步，设置雷达在系统中挂载的串口设备-x权限(以/dev/ttyUSB0为例)
  • 实际使用时，根据雷达在你的系统中的实际挂载情况来设置，可以使用ls -l /dev命令查看.

cd ~/ldlidar_ros2_ws

sudo chmod 777 /dev/ttyUSB0

• 第三步，修改launch/目录下雷达产品型号对应的lanuch文件中的port_name值，以ld14.launch.py为例，如下所示.

#!/usr/bin/env python3
from launch import LaunchDescription
from launch_ros.actions import Node

'''
Parameter Description:
---
- Set laser scan directon: 
  1. Set counterclockwise, example: {'laser_scan_dir': True}
  2. Set clockwise,        example: {'laser_scan_dir': False}
- Angle crop setting, Mask data within the set angle range:
  1. Enable angle crop fuction:
    1.1. enable angle crop,  example: {'enable_angle_crop_func': True}
    1.2. disable angle crop, example: {'enable_angle_crop_func': False}
  2. Angle cropping interval setting:
  - The distance and intensity data within the set angle range will be set to 0.
  - angle >= 'angle_crop_min' and angle <= 'angle_crop_max' which is [angle_crop_min, angle_crop_max], unit is degress.
    example:
      {'angle_crop_min': 135.0}
      {'angle_crop_max': 225.0}
      which is [135.0, 225.0], angle unit is degress.
'''

def generate_launch_description():
  # LDROBOT LiDAR publisher node
  ldlidar_node = Node(
      package='ldlidar_sl_ros2',
      executable='ldlidar_sl_ros2_node',
      name='ldlidar_publisher_ld14',
      output='screen',
      parameters=[
        {'product_name': 'LDLiDAR_LD14'},
        {'laser_scan_topic_name': 'scan'},
        {'point_cloud_2d_topic_name': 'pointcloud2d'},
        {'frame_id': 'base_laser'},
        {'port_name': '/dev/ttyUSB0'},
        {'serial_baudrate' : 115200},
        {'laser_scan_dir': True},
        {'enable_angle_crop_func': False},
        {'angle_crop_min': 135.0},
        {'angle_crop_max': 225.0}
      ]
  )

  # base_link to base_laser tf node
  base_link_to_laser_tf_node = Node(
    package='tf2_ros',
    executable='static_transform_publisher',
    name='base_link_to_base_laser_ld14',
    arguments=['0','0','0.18','0','0','0','base_link','base_laser']
  )


  # Define LaunchDescription variable
  ld = LaunchDescription()

  ld.add_action(ldlidar_node)
  ld.add_action(base_link_to_laser_tf_node)

  return ld

2. 编译方法

使用colcon编译.

cd ~/ldlidar_ros2_ws

colcon build

3. 运行方法

3.1. 设置功能包环境变量

• 编译完成后需要将编译生成的相关文件加入环境变量，便于 ROS 环境可以识别， 执行命令如下所示， 该命令是临时给终端加入环境变量，意味着您如果重新打开新的终端，也需要重新执行如下命令.

  cd ~/ldlidar_ros2_ws
  
  source install/local_setup.bash

• 为了重新打开终端后，永久不用执行上述添加环境变量的命令，可以进行如下操作.

  echo "source ~/ldlidar_ros2_ws/install/local_setup.bash" >> ~/.bashrc
  
  source ~/.bashrc

3.2. 启动激光雷达节点

• 产品型号为 LDROBOT LiDAR LD14
  • 启动ld14 lidar node:

  ros2 launch ldlidar_sl_ros2 ld14.launch.py

  • 启动ld14 lidar node并显示激光数据在Rviz2上:

  ros2 launch ldlidar_sl_ros2 viewer_ld14.launch.py

4. 测试

代码支持ubuntu20.04 ROS2 foxy版本及以上测试，使用rviz2可视化。

• 新打开一个终端 (Ctrl + Alt + T),运行命令:rviz2,并通过Rviz2工具打开readme文件所在目录的rviz2文件夹下面的ldlidar.rviz文件

rviz2

Instructions

This SDK is only applicable to the LiDAR products sold by Shenzhen LDROBOT Co., LTD. The product models are :

• LDROBOT LiDAR LD14

step 0: get LiDAR ROS2 Package

cd ~

mkdir -p ldlidar_ros2_ws/src

cd ldlidar_ros2_ws/src

git clone  https://github.com/ldrobotSensorTeam/ldlidar_sl_ros2.git
# or
git clone  https://gitee.com/ldrobotSensorTeam/ldlidar_sl_ros2.git

step 1: system setup

• Connect the LiDAR to your system motherboard via an onboard serial port or usB-to-serial module (for example, CP2102 module).

• Set the -x permission for the serial port device mounted by the radar in the system (for example, /dev/ttyUSB0)

  • In actual use, the LiDAR can be set according to the actual mounted status of your system, you can use 'ls -l /dev' command to view.

cd ~/ldlidar_ros2_ws

sudo chmod 777 /dev/ttyUSB0

• Modify the port_name value in the Lanuch file corresponding to the radar product model under launch/, using ld14.launch.py as an example, as shown below.

#!/usr/bin/env python3
from launch import LaunchDescription
from launch_ros.actions import Node

'''
Parameter Description:
---
- Set laser scan directon: 
  1. Set counterclockwise, example: {'laser_scan_dir': True}
  2. Set clockwise,        example: {'laser_scan_dir': False}
- Angle crop setting, Mask data within the set angle range:
  1. Enable angle crop fuction:
    1.1. enable angle crop,  example: {'enable_angle_crop_func': True}
    1.2. disable angle crop, example: {'enable_angle_crop_func': False}
  2. Angle cropping interval setting:
  - The distance and intensity data within the set angle range will be set to 0.
  - angle >= 'angle_crop_min' and angle <= 'angle_crop_max' which is [angle_crop_min, angle_crop_max], unit is degress.
    example:
      {'angle_crop_min': 135.0}
      {'angle_crop_max': 225.0}
      which is [135.0, 225.0], angle unit is degress.
'''

def generate_launch_description():
  # LDROBOT LiDAR publisher node
  ldlidar_node = Node(
      package='ldlidar_sl_ros2',
      executable='ldlidar_sl_ros2_node',
      name='ldlidar_publisher_ld14',
      output='screen',
      parameters=[
        {'product_name': 'LDLiDAR_LD14'},
        {'laser_scan_topic_name': 'scan'},
        {'point_cloud_2d_topic_name': 'pointcloud2d'},
        {'frame_id': 'base_laser'},
        {'port_name': '/dev/ttyUSB0'},
        {'serial_baudrate' : 115200},
        {'laser_scan_dir': True},
        {'enable_angle_crop_func': False},
        {'angle_crop_min': 135.0},
        {'angle_crop_max': 225.0}
      ]
  )

  # base_link to base_laser tf node
  base_link_to_laser_tf_node = Node(
    package='tf2_ros',
    executable='static_transform_publisher',
    name='base_link_to_base_laser_ld14',
    arguments=['0','0','0.18','0','0','0','base_link','base_laser']
  )


  # Define LaunchDescription variable
  ld = LaunchDescription()

  ld.add_action(ldlidar_node)
  ld.add_action(base_link_to_laser_tf_node)

  return ld

step 2: build

Run the following command.

cd ~/ldlidar_ros2_ws

colcon build

step 3: run

step3.1: package environment variable settings

• After the compilation is completed, you need to add the relevant files generated by the compilation to the environment variables, so that the ROS environment can recognize them. The execution command is as follows. This command is to temporarily add environment variables to the terminal, which means that if you reopen a new terminal, you also need to re-execute it. The following command.

  cd ~/ldlidar_ros2_ws
  
  source install/local_setup.bash

• In order to never need to execute the above command to add environment variables after reopening the terminal, you can do the following.

  echo "source ~/ldlidar_ros2_ws/install/local_setup.bash" >> ~/.bashrc
  
  source ~/.bashrc

step3.2: start LiDAR node

• The product is LDROBOT LiDAR LD14
  • start ld14 lidar node:

  ros2 launch ldlidar_sl_ros2 ld14.launch.py

  • start ld14 lidar node and show on the Rviz2:

  ros2 launch ldlidar_sl_ros2 viewer_ld14.launch.py

step 4: test

The code supports ubuntu 20.04 ros2 foxy version and above, using rviz2 visualization.

• new a terminal (Ctrl + Alt + T) and use Rviz2 tool(run command: rviz2) ,open the ldlidar.rviz file below the rviz2 folder of the readme file directory

rviz2