Plugin for the simulation of the Livox Mid-360 based on the official plugin
Main changes:
On the left you can see the point cloud generated by the original plugin, on the right the point cloud generated by this plugin. The distortion is clearly visible in the left image.
OS | COMPILER | Cmake version |
---|---|---|
Ubuntu 20.04 | GCC >= 9.4 | > 3.16.3 |
Clone this repo into your catkin workspace src folder.
cd ~/catkin_ws/src
git clone https://github.com/fratopa/Mid360_simulation_plugin.git
Build the plugin.
cd ~/catkin_ws
source opt/ros/noetic/setup.bash
catkin build -DCMAKE_BUILD_TYPE=Release
To add the plugin to your robot model add the following lines to your sdf file create a link and then attach the sensor to the link as such:
<sensor type="ray" name="laser_livox">
<pose>0 0 0.0 0 0 0</pose>
<visualize>true</visualize>
<always_on>True</always_on>
<update_rate>10</update_rate>
<!-- This ray plgin is only for visualization. -->
<plugin name="gazebo_ros_laser_controller" filename="liblivox_laser_simulation.so">
<ray>
<scan>
<horizontal>
<samples>100</samples>
<resolution>1</resolution>
<min_angle>-3.1415926535897931</min_angle>
<max_angle>3.1415926535897931</max_angle>
</horizontal>
<vertical>
<samples>50</samples>
<resolution>1</resolution>
<min_angle>-3.1415926535897931</min_angle>
<max_angle>3.1415926535897931</max_angle>
</vertical>
</scan>
<range>
<min>0.1</min>
<max>40</max>
<resolution>1</resolution>
</range>
<noise>
<type>gaussian</type>
<mean>0.0</mean>
<stddev>0.0</stddev>
</noise>
</ray>
<visualize>True</visualize>
<samples>20000</samples>
<downsample>1</downsample>
<csv_file_name>mid360-real-centr.csv</csv_file_name>
<publish_pointcloud_type>2</publish_pointcloud_type>
<ros_topic>/livox/lidar</ros_topic>
<frameName>base_link</frameName>
</plugin>
</sensor>
The main parameters you may want to change are:
visualize
: If set to true the plugin will visualize the laser in gazebo, this is usefull for debugging but you may consider turning this off to improve performances.downsample
: The higher the downsample factor the fewer points will be generated. this parameter can be usefull to reduce the computational load of the simulation.publish_pointcloud_type
: This changes the format in which the pointcloud will be published:
0
: The pointcloud will be published as a sensor_msgs::PointCloud message1
: The pointcloud will be published as a sensor_msgs::pointcloud2 message with fields x
, y
, z
2
(default): The pointcloud will be published as a sensor_msgs::pointcloud2 message with fields x
, y
, z
, intensity
, tag
, line
, timestamp
. 3
: The pointcloud will be published in the Livox custom message format.
offset_time:
x:
y:
z:
reflectivity:
tag:
line:
To verify that the plugin is working correctly you can run the minimal example:
source ~/catkin_ws/devel/setup.bash
roslaunch livox_laser_simulation test_pattern.launch
This will launch the plugin with a test pattern. You should see a point cloud in RViz and a gazebo window with a spinning laser.
If you use this plugin in your research, please cite the following paper:
@Article{isprs-archives-XLVIII-1-W1-2023-539-2023,
AUTHOR = {Vultaggio, F. and d'Apolito, F. and Sulzbachner, C. and Fanta-Jende, P.},
TITLE = {SIMULATION OF LOW-COST MEMS-LIDAR AND ANALYSIS OF ITS EFFECT ON THE PERFORMANCES OF STATE-OF-THE-ART SLAMS},
JOURNAL = {The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences},
VOLUME = {XLVIII-1/W1-2023},
YEAR = {2023},
PAGES = {539--545},
URL = {https://isprs-archives.copernicus.org/articles/XLVIII-1-W1-2023/539/2023/},
DOI = {10.5194/isprs-archives-XLVIII-1-W1-2023-539-2023}
}