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https://github.com/PRBonn/LiDAR-MOS
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
https://github.com/PRBonn/LiDAR-MOS
deep-learning deep-neural-networks dynamic-slam lidar lidar-slam mapping motion-detection moving-object-segmentation point-cloud segmentation slam
Last synced: 3 months ago
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(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
- Host: GitHub
- URL: https://github.com/PRBonn/LiDAR-MOS
- Owner: PRBonn
- License: mit
- Created: 2021-06-20T07:53:20.000Z (over 3 years ago)
- Default Branch: main
- Last Pushed: 2022-12-21T12:52:58.000Z (about 2 years ago)
- Last Synced: 2024-02-06T16:03:09.634Z (12 months ago)
- Topics: deep-learning, deep-neural-networks, dynamic-slam, lidar, lidar-slam, mapping, motion-detection, moving-object-segmentation, point-cloud, segmentation, slam
- Language: Python
- Homepage:
- Size: 40.7 MB
- Stars: 525
- Watchers: 15
- Forks: 99
- Open Issues: 16
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Metadata Files:
- Readme: README.md
- License: LICENSE