PRBonn/OverlapNet
OverlapNet
OverlapNet - Loop Closing for 3D LiDAR-based SLAM (chen2020rss)
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May 12, 2020
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OverlapNet is a deep learning approach for loop closure detection in 3D LiDAR-based SLAM systems. It uses a neural network to predict overlap between LiDAR scans by converting 3D point clouds into range images and learning overlap patterns. The method provides robust loop closure detection for autonomous vehicles and robotics applications using LiDAR data.
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Updated 3 years ago
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- Project created
- May 12, 2020
- Forked
- Mar 16, 2026
- Your last push
- 3 years ago
- Upstream last push
- 3 years ago
- Tracked since
- Mar 24, 2023
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