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Abductive Ego-View Accident Video Understanding for Safe Driving Perception
March 4, 2024, 5:45 a.m. | Jianwu Fang, Lei-lei Li, Junfei Zhou, Junbin Xiao, Hongkai Yu, Chen Lv, Jianru Xue, Tat-Seng Chua
cs.CV updates on arXiv.org arxiv.org
Abstract: We present MM-AU, a novel dataset for Multi-Modal Accident video Understanding. MM-AU contains 11,727 in-the-wild ego-view accident videos, each with temporally aligned text descriptions. We annotate over 2.23 million object boxes and 58,650 pairs of video-based accident reasons, covering 58 accident categories. MM-AU supports various accident understanding tasks, particularly multimodal video diffusion to understand accident cause-effect chains for safe driving. With MM-AU, we present an Abductive accident Video understanding framework for Safe Driving perception (AdVersa-SD). …
abstract arxiv cs.ai cs.cv dataset driving modal multi-modal novel perception text type understanding video videos video understanding view
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