ika-rwth-aachen / MultiCorrupt

MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.

Date Created 2024-01-25 (5 months ago)

Commits 45 (last one about a month ago)

Stargazers 32 (0 this week)

Watchers 4 (0 this week)

Forks 4

License mit

Ranking

RepositoryStats indexes 535,551 repositories, of these ika-rwth-aachen/MultiCorrupt is ranked #509,760 (5th percentile) for total stargazers, and #355,133 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #97,817/103,734.

ika-rwth-aachen/MultiCorrupt is also tagged with popular topics, for these it's ranked: computer-vision (#2,709/2823), object-detection (#1,041/1085), benchmark (#644/671), lidar (#247/260)

Other Information

ika-rwth-aachen/MultiCorrupt has Github issues enabled, there are 5 open issues and 5 closed issues.

There have been 6 releases, the latest one was published on 2024-05-15 (about a month ago) with the name v0.0.6.

All Topics

lidar benchmark corruptions multi-modal computer-vision object-detection lidar-camera-fusion

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

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updated: 2024-06-29 @ 04:18am, id: 748279325 / R_kgDOLJnWHQ