Driver Behavior Extraction from Videos in Naturalistic Driving Datasets with 3D ConvNets
Hanwen Miao,
Shengan Zhang,
Carol Flannagan
Abstract:Naturalistic driving data (NDD) is an important source of information to understand crash causation and human factors and to further develop crash avoidance countermeasures. Videos recorded while driving are often included in such datasets. While there is often a large amount of video data in NDD, only a small portion of them can be annotated by human coders and used for research, which underuses all video data. In this paper, we explored a computer vision method to automatically extract the information we nee… Show more
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