PRBonn / LiDAR-MOS

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

Date Created 2021-06-20 (3 years ago)

Commits 54 (last one about a year ago)

Stargazers 604 (2 this week)

Watchers 14 (0 this week)

Forks 105

License mit

Ranking

RepositoryStats indexes 585,332 repositories, of these PRBonn/LiDAR-MOS is ranked #78,535 (87th percentile) for total stargazers, and #155,085 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #12,633/116,570.

PRBonn/LiDAR-MOS is also tagged with popular topics, for these it's ranked: deep-learning (#1,815/8403), segmentation (#117/631), deep-neural-networks (#144/628), slam (#85/437), point-cloud (#64/422), mapping (#58/318), lidar (#41/293)

Other Information

PRBonn/LiDAR-MOS has Github issues enabled, there are 15 open issues and 59 closed issues.

There have been 2 releases, the latest one was published on 2021-09-06 (3 years ago) with the name LiDAR-MOS v1.1.

All Topics

slam lidar mapping lidar-slam point-cloud dynamic-slam segmentation deep-learning motion-detection deep-neural-networks moving-object-segmentation

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23 commits on the default branch (main) since jan '22

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The primary language is Python but there's also others...

updated: 2024-11-20 @ 04:25pm, id: 378589251 / R_kgDOFpDQQw