AI RESEARCH
SB-BEVFusion: Enhancing the Robustness against Sensor Malfunction and Corruptions
arXiv CS.CV
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ArXi:2605.11799v1 Announce Type: new Multimodal sensor fusion has nstrated remarkable performance improvements over unimodal approaches in 3D object detection for autonomous vehicles. Typically, existing methods transform multimodal data from independent sensors, such as camera and LiDAR, into a unified bird's-eye view (BEV) representation for fusion. Although effective in ideal conditions, this strategy suffers from substantial performance deterioration when camera or LiDAR data are missing, corrupted, or noisy.