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Comparison of two eye-gaze based real-time driver distraction detection algorithms in a small-scale field operational test
Swedish National Road and Transport Research Institute, Traffic and road users, Human-vehicle-transport system interaction.ORCID iD: 0000-0002-1849-9722
Swedish National Road and Transport Research Institute, Traffic and road users, Human-vehicle-transport system interaction.ORCID iD: 0000-0003-4134-0303
Swedish National Road and Transport Research Institute, Traffic and road users, Vehicle technology and simulation.
2009 (English)In: Proceedings of the 5th International Driving Symposium on Human Factors in Driver Assessment and Design, 2009, 16-23 p.Conference paper, Published paper (Refereed)
Abstract [en]

Driver distraction is a field which has received increasing attention in the last years, especially after it became evident that distraction is a major factor contributing to road casualties. Monitoring, detecting and limiting driver distraction could contribute significantly to improve road traffic safety. With the introduction of novel unobtrusive gaze-tracking systems real-time algorithms based on the driver’s gaze direction can be developed for driver distraction warning systems.

The study describes and compares two different algorithms for gaze-based driver distraction detection based on the eye tracking data obtained in a field study. One algorithm relies on the metric “percent road centre” of gaze direction, the other on gaze zones in the vehicle. Results show that both algorithms have potential for detecting driver distraction, but that no effect of the distraction warnings on attention as defined by the algorithms could be observed.

Place, publisher, year, edition, pages
2009. 16-23 p.
Keyword [en]
Eye movement, Continuous, Measurement, Mathematical model, Attention, Warning
National Category
Vehicle Engineering
Research subject
80 Road: Traffic safety and accidents, 841 Road: Road user behaviour; 90 Road: Vehicles and vehicle technology, 914 Road: ITS och vehicle technology
Identifiers
URN: urn:nbn:se:vti:diva-7894OAI: oai:DiVA.org:vti-7894DiVA: diva2:817340
Conference
Fifth International Driving Symposium on Human Factors in Driver Assessment, Training and Vehicle Design
Available from: 2015-06-05 Created: 2015-05-28 Last updated: 2016-09-01Bibliographically approved

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CiteExportLink to record
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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
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Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
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Output format
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