Supervised Contrastive Learning for Detecting Anomalous Driving Behaviours from Multimodal Videos. (arXiv:2109.04021v2 [cs.CV] UPDATED)

Distracted driving is one of the major reasons for vehicle accidents.
Therefore, detecting distracted driving behaviors is of paramount importance to
reduce the millions of deaths and injuries occurring worldwide. Distracted or
anomalous driving behaviors are deviations from 'normal' driving that need to
be identified correctly to alert the driver. However, these driving behaviors
do not comprise one specific type of driving style and their distribution can
be different during the training and test phases of a classifier. We formulate …

arxiv cv driving learning multimodal videos