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Review of real-time visual driver distraction detection algorithms
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, Human-vehicle-transport system interaction.ORCID iD: 0000-0002-1849-9722
2011 (English)In: ACM International Conference Proceeding Series, 2011Conference paper, Published paper (Refereed)
Abstract [en]

Many incidents and crashes can be attributed to driver distraction, and it is essential to learn how to detectdistraction in order to develop efficient countermeasures. A number of distraction detection algorithms have been developed over the years, and the objective of this paper is to summarize available approaches and to describe these algorithms in a unified framework. The review is limited to real-time algorithms that are intended to detect visual distraction.

Place, publisher, year, edition, pages
2011.
Keyword [en]
Driver, Behaviour, Distraction, Mathematical model, Detection, Attention
National Category
Signal Processing
Research subject
90 Road: Vehicles and vehicle technology, 914 Road: ITS och vehicle technology
Identifiers
URN: urn:nbn:se:vti:diva-277DOI: 10.1145/1931344.1931346OAI: oai:DiVA.org:vti-277DiVA: diva2:662667
Conference
7th International Conference on Methods and Techniques in Behavioral Research, MB'10; Eindhoven; Netherlands; 24 August 2010 through 27 August 2010
Available from: 2013-11-08 Created: 2013-11-08 Last updated: 2016-09-01Bibliographically approved

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CiteExportLink to record
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Citation style
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