# PRBonn/LiDAR-MOS

<https://repo.masters-masters.com/en/repos/PRBonn/LiDAR-MOS>

[Home](https://repo.masters-masters.com/en) › [PRBonn](https://repo.masters-masters.com/en/owners/PRBonn) › [LiDAR-MOS](https://repo.masters-masters.com/en/repos/PRBonn/LiDAR-MOS)

PRBonn/LiDAR-MOS has 693 stars on GitHub. Its RepoMasters card: Alpha tier. (LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach…

| Field | Value |
| --- | --- |
| Owner | [PRBonn](https://repo.masters-masters.com/en/owners/PRBonn) |
| Stars | 693 |
| Forks | 112 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2021 |
| Topics | lidar, point-cloud, segmentation, slam, mapping, deep-learning, deep-neural-networks, moving-object-segmentation, lidar-slam, dynamic-slam |
| Tier | [Alpha (250 to 699 ★)](https://repo.masters-masters.com/en/ranks/b_movie) |
| View on GitHub | [PRBonn/LiDAR-MOS](https://github.com/PRBonn/LiDAR-MOS) |

## Repository

(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)

The tier for repos with 250 to 699 ★. Published odds per card pulled: 20%. Rarity: Uncommon.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.