A robust method to detect driver distraction

Distraction is regarded as the sole or most important contributing factor to accidents. Therefore, methods are needed which allow the reliable detection of distracted driving. For the results reported here, data were collected during on the road driving experiments with an equipped vehicle. Besides driving behaviour, gaze data was recorded during distracted and non-distracted periods of driving. The data were first analysed for differences between both conditions. Based on these results the variable "standard deviation of the gaze data" was selected for further analyses. By performing a binary logistic regression it could be shown that this variable could reliably predict states of distraction. With the technical progress in gaze detection these results are regarded as highly promising for future solutions of in-car detection of driver distraction.

Language

  • English

Media Info

  • Pagination: 279-88
  • Monograph Title: Proceedings of European Conference on Human Centred Design for Intelligent Transport Systems, April 29-30, 2010, Berlin, Germany

Subject/Index Terms

Filing Info

  • Accession Number: 01382639
  • Record Type: Publication
  • Source Agency: ARRB
  • ISBN: 9782953171211
  • Files: ATRI
  • Created Date: Aug 22 2012 1:25PM