ika-rwth-aachen/MultiCorrupt

[IV2024] 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.

语言：Jupyter Notebook · GitHub 星标：87 · Fork：8

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

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