MigVega / SLAM2REF

This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an accurate TLS point cloud as a reference map (this map should be accurate at least regarding the position of permanent elements such as walls and columns).

Date Created 2024-05-29 (9 months ago)

Commits 70 (last one 4 months ago)

Stargazers 103 (0 this week)

Watchers 2 (0 this week)

Forks 3

License gpl-3.0

Ranking

RepositoryStats indexes 622,269 repositories, of these MigVega/SLAM2REF is ranked #297,514 (52nd percentile) for total stargazers, and #496,170 for total watchers. Github reports the primary language for this repository as C++, for repositories using this language it is ranked #16,708/33,214.

MigVega/SLAM2REF is also tagged with popular topics, for these it's ranked: 3d (#748/1256), map (#304/515), localization (#265/469), slam (#296/462), pose-estimation (#212/342), mapping (#211/327), lidar (#180/316)

All Topics

3d bim imu map tls slam lidar mapping accurate 360-lidar long-term lidar-slam ground-truth localization pose-estimation lidar-point-cloud

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Recent Commit History

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

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Languages

The primary language is C++ but there's also others...

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updated: 2025-02-16 @ 06:53pm, id: 807500329 / R_kgDOMCF6KQ