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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.
MIT License
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Evaluate UniBEV #7

Open TillBeemelmanns opened 1 month ago

TillBeemelmanns commented 1 month ago

https://github.com/tudelft-iv/UniBEV

@inproceedings{wang2023unibev,
  title={UniBEV: Multi-modal 3D Object Detection with Uniform BEV Encoders for Robustness against Missing Sensor Modalities},
  author={Wang, Shiming and Caesar, Holger and Nan, Liangliang and Kooij, Julian FP},
  booktitle={2024 IEEE Intelligent Vehicles Symposium (IV)},
  year={2024}
}