Quantitative Identification of Driver Distraction: A Weakly Supervised Contrastive Learning Approach
Abstract: Accurate recognition of driver distraction is significant for the design of human-machine cooperation driving systems. Existing studies mainly focus on classifying varied distracted driving ...
Abstract: Driver distraction is a significant factor leading to traffic accidents. Detecting driver distraction is crucial for the development of advanced driver assistance systems (ADAS). With the ...
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