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 (7 months ago)

Commits 70 (last one 2 months ago)

Stargazers 94 (0 this week)

Watchers 2 (0 this week)

Forks 2

License gpl-3.0

Ranking

RepositoryStats indexes 598,732 repositories, of these MigVega/SLAM2REF is ranked #308,033 (49th percentile) for total stargazers, and #487,120 for total watchers. Github reports the primary language for this repository as C++, for repositories using this language it is ranked #17,336/32,003.

MigVega/SLAM2REF is also tagged with popular topics, for these it's ranked: 3d (#760/1215), map (#312/507), localization (#268/448), slam (#302/445), pose-estimation (#218/332), mapping (#218/323), lidar (#177/302)

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: 2024-12-17 @ 09:13am, id: 807500329 / R_kgDOMCF6KQ