SB-BEVFusion introduces a framework-agnostic module that improves 3D object detection robustness when camera or LiDAR inputs are missing or corrupted, outperforming prior unified BEV approaches on the MultiCorrupt dataset.
Multimodal learning under imperfect data conditions: A survey
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SB-BEVFusion: Enhancing the Robustness against Sensor Malfunction and Corruptions
SB-BEVFusion introduces a framework-agnostic module that improves 3D object detection robustness when camera or LiDAR inputs are missing or corrupted, outperforming prior unified BEV approaches on the MultiCorrupt dataset.