Detection of Drivers Distraction While Driving – A Study

Journal Title: PARIPEX-Indian Journal of Research - Year 2016, Vol 5, Issue 10

Abstract

In this paper, we review the scientific field technologies for driver distraction detection, which can be categorized into the following two main classifications: 1) distraction and 2) fatigue. Driver distraction is a key factor in the most traffic accidents. The goal of precisely determining the drivers’ state of mind has been actively carried out for decades in research and development. In this paper, we summarize these approaches by apportioning them into the following three different types of measures: 1) driver physical measures; 2) driving performance measures; and 3) hybrid measures. The hybrid measures are believed to give more trustworthy solutions compared with single driver physical measures or driving performance measures. We also discuss some nonlinear modeling techniques commonly used in the literature.

Authors and Affiliations

J. Mary Dallfin Bruxella, Dr. J. K. Kanimozhi

Keywords

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  • EP ID EP566334
  • DOI -
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How To Cite

J. Mary Dallfin Bruxella, Dr. J. K. Kanimozhi (2016). Detection of Drivers Distraction While Driving – A Study. PARIPEX-Indian Journal of Research, 5(10), 16-17. https://europub.co.uk/articles/-A-566334