A large-scale, diverse posture-based distracted diver dataset, with more than 470K images taken by 4 cameras observing 100 drivers over 79 hours from 5 vehicles.
We provide a detailed analysis of 100-Driver and present 4 settings for investigating practical problems of DDC, including the traditional setting without domain shift and 3 challenging settings (i.e., cross-modality, cross-view, and cross-vehicle) with domain shifts. We conduct comprehensive experiments on these 4 settings with state-the-of-art techniques and show several insights to the future study of Distracted driver classification (DDC).