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cs.CV2023★ 1 cited
Vision-Language Models can Identify Distracted Driver Behavior from Naturalistic Videos
Md Zahid Hasan, Jiajing Chen, Jiyang Wang +6
Recognizing the activities causing distraction in real-world driving scenarios is critical for ensuring the safety and reliability of both drivers and pedestrians on the roadways.…
cs.CV2022
Synthetic Distracted Driving (SynDD2) dataset for analyzing distracted behaviors and various gaze zones of a driver
Mohammed Shaiqur Rahman, Jiyang Wang, Senem Velipasalar Gursoy +3
This article presents a synthetic distracted driving (SynDD2 - a continuum of SynDD1) dataset for machine learning models to detect and analyze drivers' various distracted behavior…