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 (5 months ago)

Commits 70 (last one about a month ago)

Stargazers 91 (0 this week)

Watchers 2 (0 this week)

Forks 2

License gpl-3.0

Ranking

RepositoryStats indexes 584,353 repositories, of these MigVega/SLAM2REF is ranked #309,436 (47th percentile) for total stargazers, and #478,709 for total watchers. Github reports the primary language for this repository as C++, for repositories using this language it is ranked #17,383/31,270.

MigVega/SLAM2REF is also tagged with popular topics, for these it's ranked: 3d (#746/1184), map (#313/502), localization (#267/439), slam (#294/435), pose-estimation (#212/321), mapping (#216/316), lidar (#175/292)

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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Issue History

No issues have been posted

Languages

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

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updated: 2024-11-05 @ 08:09am, id: 807500329 / R_kgDOMCF6KQ