# rvp-group/mdslam

<https://repo.masters-masters.com/en/repos/rvp-group/mdslam>

[Home](https://repo.masters-masters.com/en) › [rvp-group](https://repo.masters-masters.com/en/owners/rvp-group) › [mdslam](https://repo.masters-masters.com/en/repos/rvp-group/mdslam)

rvp-group/mdslam has 160 stars on GitHub. Its RepoMasters card: Prototype tier. MD-SLAM: Multi-cue Direct SLAM. Implements the first photometric LiDAR SLAM…

| Field | Value |
| --- | --- |
| Owner | [rvp-group](https://repo.masters-masters.com/en/owners/rvp-group) |
| Stars | 160 |
| Forks | 17 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | BSD-3-Clause |
| Created | 2022 |
| Topics | lidar, lidar-slam, photometric, rgbd, rgbd-slam, mapping-algorithms, photometric-lidar-slam, photometric-rgbd-slam |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [rvp-group/mdslam](https://github.com/rvp-group/mdslam) |

## Repository

MD-SLAM: Multi-cue Direct SLAM. Implements the first photometric LiDAR SLAM pipeline, that works withouth any explicit geometrical assumption. Universal approach, working independently for RGB-D and LiDAR.

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.