AI RESEARCH
RESBev: Making BEV Perception More Robust
arXiv CS.CV
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ArXi:2603.09529v1 Announce Type: new Bird's-eye-view (BEV) perception has emerged as a cornerstone of autonomous driving systems, providing a structured, ego-centric representation critical for downstream planning and control. However, real-world deployment faces challenges from sensor degradation and adversarial attacks, which can cause severe perceptual anomalies and ultimately compromise the safety of autonomous driving systems.