Comments (2)
VincentCheungM
commented on September 13, 2024
1
Hi sorry for my late reply. In this toy code, it's just fit a plane and segment it out. So it doesn't play a lot on distinguish the sidewalk and road, unless you make a very precise height threshold of course....
In my personal opinion, you could apply a learning based algorithm like FCN segmentation on the bird eye view images of point clouds, which requires some efforts on label annotation, training and maybe better for high resolution LiDARs.
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omar-bakr
commented on September 13, 2024
Thank you for your response
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Related Issues (20)
- void ScanLineRun::velodyne_callback_ HOT 2
- Hello, can this extract the segmented point cloud model? HOT 1
- How to use this node ?
- Does this code works for Ouster Lidar as well ? HOT 1
- No data being published on topic /slr
- question about cluster function "velodyne_callback"
- some parameters meaning HOT 2
- about ground segmentation
- h
- Cann't work well in Kitti dataset
- row calculate
- When I use ouster lidar ：[ERROR] [1667877235.639786775]: Row: -2147483648 is out of index.
- noetic
- Couldn't find code for segments N segs - Ground Pane Fitting ? HOT 2
- The performance is similar to ECE!?
- Unable to view scan line run clustering? HOT 5
- unable to run the groundplanfit? HOT 1
- The result of groundPlanefit is unstable？
- clustering results lose part of non-ground points? HOT 1
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