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        Detecting Distracted Driving with Deep Learning

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        LM_1.pdf (PDF, 272Kb)
        Author
        Okon, Ofonime Dominic
        Meng, Li
        Attention
        2299/21403
        Abstract
        Driver distraction is the leading factor in most car crashes and near-crashes. This paper discusses the types, causes and impacts of distracted driving. A deep learning approach is then presented for the detection of such driving behaviors using images of the driver, where an enhancement has been made to a standard convolutional neural network (CNN). Experimental results on Kaggle challenge dataset have confirmed the capability of a convolutional neural network (CNN) in this complicated computer vision task and illustrated the contribution of the CNN enhancement to a better pattern recognition accuracy.
        Publication date
        2017-09-11
        Published in
        Interactive Collaborative Robotics
        Published version
        https://doi.org/10.1007/978-3-319-66471-2
        Other links
        http://hdl.handle.net/2299/21403
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