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What is Distraction Detection in Driver Monitoring about?

The document discusses the exploration of the Driver Monitoring Dataset (DMD) to detect driver distraction through image and video-based action recognition techniques. It compares various state-of-the-art models for classifying distraction-related activities and presents preliminary results. The study emphasizes the importance of non-intrusive computer vision methods for driver monitoring systems as vehicles transition from level 2 to level 3 automation.

Author

ghita layoune

Language

EN