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Mining Cross-Modal Perception Gaps in Autonomous Driving: When Camera and LiDAR Disagree
Multi-modal fusion for 3D object detection assumes that cameras and LiDAR are broadly complementary. In practice, how much each modality is trusted at a given location is decided by learned weights that are neither characterized nor auditable. We label every ground-truth object by which modalities d
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