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Predicting Hazardous Driving Events Using Multi-Modal Deep Learning Based on Video Motion Profile and Kinematics Data
2018
2018 21st International Conference on Intelligent Transportation Systems (ITSC)
As the raising of traffic accidents caused by commercial vehicle drivers, more regulations have been issued for improving their safety status. Driving record instruments are required to be installed on such vehicles in China. The obtained naturalistic driving data offer insight into the causal factors of hazardous events with the requirements to identify where hazardous events happen within large volumes of data. In this study, we develop a model based on a low-definition driving record
doi:10.1109/itsc.2018.8569659
dblp:conf/itsc/GaoLZYWS18
fatcat:amv4u5gtvnacrcr4vqjuowaehi