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Visual Abductive Reasoning Meets Driving Hazard Prediction
Feb. 28, 2024, 5:47 a.m. | Korawat Charoenpitaks, Van-Quang Nguyen, Masanori Suganuma, Masahiro Takahashi, Ryoma Niihara, Takayuki Okatani
cs.CV updates on arXiv.org arxiv.org
Abstract: This paper addresses the problem of predicting hazards that drivers may encounter while driving a car. We formulate it as a task of anticipating impending accidents using a single input image captured by car dashcams. Unlike existing approaches to driving hazard prediction that rely on computational simulations or anomaly detection from videos, this study focuses on high-level inference from static images. The problem needs predicting and reasoning about future events based on uncertain observations, which …
abstract accidents arxiv car computational cs.cv drivers driving hazards image paper prediction reasoning simulations type visual
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