# MigVega/SLAM2REF

<https://repo.masters-masters.com/en/repos/MigVega/SLAM2REF>

[Home](https://repo.masters-masters.com/en) › [MigVega](https://repo.masters-masters.com/en/owners/MigVega) › [SLAM2REF](https://repo.masters-masters.com/en/repos/MigVega/SLAM2REF)

MigVega/SLAM2REF has 146 stars on GitHub. Its RepoMasters card: Prototype tier. This project allows the alignment and correction of LiDAR-based SLAM session…

| Field | Value |
| --- | --- |
| Owner | [MigVega](https://repo.masters-masters.com/en/owners/MigVega) |
| Stars | 146 |
| Forks | 5 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | GPL-3.0 |
| Created | 2024 |
| Topics | 3d, accurate, bim, ground-truth, imu, lidar, lidar-point-cloud, lidar-slam, localization, long-term |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [MigVega/SLAM2REF](https://github.com/MigVega/SLAM2REF) |

## Repository

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…

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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