A systematic review of 74 studies (2019-2024) showing visual-only deep learning dominates distracted driving detection, while multimodal approaches offer better robustness and generalization.
Drive&act: A multi-modal dataset for fine-grained driver behavior recognition in autonomous vehicles,
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Visual Dominance and Emerging Multimodal Approaches in Distracted Driving Detection: A Review of Machine Learning Techniques
A systematic review of 74 studies (2019-2024) showing visual-only deep learning dominates distracted driving detection, while multimodal approaches offer better robustness and generalization.