A review of 147 papers on deep learning for vision-based traffic accident anticipation, categorizing methods into image/video features, spatio-temporal features, scene understanding, and multimodal fusion.
Road traffic injuries,
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Deep Learning Advances in Vision-Based Traffic Accident Anticipation: A Comprehensive Review of Methods, Datasets, and Future Directions
A review of 147 papers on deep learning for vision-based traffic accident anticipation, categorizing methods into image/video features, spatio-temporal features, scene understanding, and multimodal fusion.