:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
Segment 3D point cloud data from Velodyne sensors into distinct objects quickly and reliably.
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depth_clustering has 1.3k stars on GitHub. It has been forked 381 times. depth_clustering is written mainly in C++. It has been in active development since 2016. depth_clustering is available under the MIT license. Its main topics are catkin, clustering, depth, depth-clustering.
:taxi: Fast and robust clustering of point clouds generated with a Velodyne sensor.
depth_clustering is an open-source project. It is released under the MIT license.
Yes. depth_clustering is free and open source — you can use, modify and self-host it.
depth_clustering is available under the MIT license.
depth_clustering is written mainly in C++.
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