Predicting driver drowsiness using vehicle measures: recent insights and future challenges.

Abstract

INTRODUCTION Driver drowsiness is a significant contributing factor to road crashes. One approach to tackling this issue is to develop technological countermeasures for detecting driver drowsiness, so that a driver can be warned before a crash occurs. METHOD The goal of this review is to assess, given the current state of knowledge, whether vehicle… (More)
DOI: 10.1016/j.jsr.2009.04.005

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@article{Liu2009PredictingDD, title={Predicting driver drowsiness using vehicle measures: recent insights and future challenges.}, author={Charles Chih-Ho Liu and Simon G. Hosking and Michael G. Lenn{\'e}}, journal={Journal of safety research}, year={2009}, volume={40 4}, pages={239-45} }