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Issues related to the driver distraction detection algorithm AttenD
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
2009 (English)Conference paper, Published paper (Refereed)
Abstract [en]

Driver distraction is a contributing factor to many crashes and a real-time distraction warning system has the potential to mitigate or circumvent many of these crashes. The objective of this paper is to thoroughly describe the distraction detection algorithm AttenD and explain the theory underlying different design choices. Future aspects and distraction warning strategies will be discussed as well.

In summary, AttenD is an eye-tracker based distraction detection algorithm which identifies visual distraction in real-time based on single long glances as well as repetitive glances. The core idea of the algorithm is a 2-second time buffer which is decremented when the driver looks away from the road and incremented when the driver looks back at the road. If the buffer runs empty, the driver’s state is classified as distracted.

Place, publisher, year, edition, pages
2009.
Keyword [en]
Attention, Detection, Mathematical model, Eye movement
National Category
Applied Psychology
Research subject
80 Road: Traffic safety and accidents, 841 Road: Road user behaviour
Identifiers
URN: urn:nbn:se:vti:diva-7889OAI: oai:DiVA.org:vti-7889DiVA: diva2:817352
Conference
First International Conference on Driver Distraction and Inattention. Gothenburg, Sweden
Available from: 2015-06-05 Created: 2015-05-28 Last updated: 2016-09-01Bibliographically approved

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fulltext(164 kB)63 downloads
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Kircher, KatjaAhlström, Christer
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CiteExportLink to record
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  • apa
  • ieee
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  • vancouver
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  • de-DE
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  • en-US
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