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 (10 months ago)

Commits 69 (last one 12 days ago)

Stargazers 53 (2 this week)

Watchers 3 (0 this week)

Forks 5

License mit

Ranking

RepositoryStats indexes 584,353 repositories, of these ika-rwth-aachen/MultiCorrupt is ranked #445,226 (24th percentile) for total stargazers, and #422,423 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #11,571/17,098.

ika-rwth-aachen/MultiCorrupt is also tagged with popular topics, for these it's ranked: computer-vision (#2,426/3081), object-detection (#929/1158), benchmark (#604/756), lidar (#227/292)

Other Information

ika-rwth-aachen/MultiCorrupt has Github issues enabled, there are 3 open issues and 13 closed issues.

There have been 9 releases, the latest one was published on 2024-10-25 (27 days ago) with the name v0.0.9.

All Topics

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

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

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-11-20 @ 04:11pm, id: 748279325 / R_kgDOLJnWHQ