Comments (1)
The code in the repo is designed to work with a single LiDAR. This limitation is also described in the corresponding papers. The reason for this is that the points it would generate must fall exactly on the pixels of the range image. You can try to project the fused point cloud onto a custom range image but this is prone to failure as there will be gaps in the range data. If you manage to create a range image without the gaps from your fused LiDAR setup the algorithm should work.
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Related Issues (20)
- visualisation of clusters HOT 2
- Implementation on velodyne lidar HOT 5
- How to cluster your own point cloud data and visualize HOT 1
- Status of this package HOT 1
- assertion on unaligned arrays HOT 1
- Release for ROS Noetic HOT 4
- Can't achieve the same effect with my own data HOT 1
- Query on Cluster Visualization HOT 2
- Feature Request: Support ROS pointclouds from Ouster 128-beam LIDAR HOT 1
- build error HOT 7
- running in real time HOT 1
- running in real time HOT 3
- subscribing to clusters
- compile err error: ‘boost::filesystem’ has not been declared
- Opencv verison
- kitti dataset test error HOT 3
- Get labeled point cloud object HOT 2
- Interesting issue when using ProjectionParams::FromConfigFile method HOT 1
- 3 MEMS combined pointcloud HOT 1
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