REVIVE: A Multi-Modal Framework for Vandalism Detection and Recovery in Autonomous Vehicles

arXiv:2607.05649v1 Announce Type: cross Abstract: Autonomous vehicles (AVs) face increasing threats from vandalism-induced occlusion attacks (VOAs) that compromise camera-based perception. While detection frameworks can identify vandalized images, restoring camera-stream utility after physical occlusion remains underexplored. This paper presents present the Recovery and Enhancement of Vandalized Images for Vision Excellence (REVIVE) framework, a vandalism recovery pipeline integrating: (1) binary VOA detection, (2) multi-class VOA pattern identification, (3) EfficientNet-based U-Net segmentati

Source: arXiv cs.LG — read the full report at the original publisher.

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