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I have two sources of LiDAR sensor on the robot one in the front and other on the back with 270 field view for both, I am using https://github.com/ros-perception/slam_gmapping to generate the map. The odom => base_link transform is provide by GAZEBO. I am using the same launch file to launch ira_laser_merger node given in the package.
Gmapping does produce a map with merged LaserScan data but the map generated is a bit inconsistent,
The map generated by any of the front or rear LaserScan sensor is as expected,
I have two sources of LiDAR sensor on the robot one in the front and other on the back with 270 field view for both, I am using https://github.com/ros-perception/slam_gmapping to generate the map. The odom => base_link transform is provide by GAZEBO. I am using the same launch file to launch
ira_laser_merger
node given in the package.Gmapping does produce a map with merged LaserScan data but the map generated is a bit inconsistent,
The map generated by any of the front or rear LaserScan sensor is as expected,
Below is the metadata for all the sensor,
Merged:
Front:
Rear:
What could be the reason which leads to such an inconsistent map generation using merged LaserScan data along with Gmapping ?
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