Detecting Distracted Driving with Deep Learning

Okon, Ofonime Dominic and Meng, Li (2017) Detecting Distracted Driving with Deep Learning. In: Interactive Collaborative Robotics : Proceeding of ICR 2017. Lecture Notes in Computer Science book series (LNCS, volume 10459) . Springer Nature, GBR, pp. 170-179. ISBN 978-3-319-66470-5
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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.


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