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Driver monitoring in the context of autonomous vehicle
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems. (IFT)ORCID iD: 0000-0002-1547-4386
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-1212-7637
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-3802-4721
2015 (English)In: Frontiers in Artificial Intelligence and Applications, Amsterdam, 2015, Vol. 278, 108-117 p.Conference paper, Published paper (Refereed)
Resource type
Text
Abstract [en]

Today research is going on within different essential functions need to bring automatic vehicles to the roads. However, there will be manual driven vehicles for many years before it is fully automated vehicles on roads. In complex situations, automated vehicles will need human assistance for long time. So, for road safety driver monitoring is even more important in the context of autonomous vehicle to keep the driver alert and awake. But, limited effort has been done in total integration between automatic vehicle and human driver. Therefore, human drivers need to be monitored and able to take over control within short notice. This papers provides an overview on autonomous vehicles and un-obstructive driver monitoring approaches that can be implemented in future autonomous vehicles to monitor driver e.g., to diagnose and predict stress, fatigue etc. in semi-automated vehicles. 

Place, publisher, year, edition, pages
Amsterdam, 2015. Vol. 278, 108-117 p.
Keyword [en]
Autonomous car, Camera, Driver monitoring, Physiological signals, Artificial intelligence, Automation, Cameras, Motor transportation, Transportation, Automated vehicles, Automatic vehicles, Autonomous Vehicles, Fully automated, Human assistance, Vehicles
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Vehicle Engineering
Identifiers
URN: urn:nbn:se:mdh:diva-31484DOI: 10.3233/978-1-61499-589-0-108Scopus ID: 2-s2.0-84963682715ISBN: 9781614995883 (print)OAI: oai:DiVA.org:mdh-31484DiVA: diva2:924294
Conference
13th Scandinavian Conference on Artificial Intelligence, SCAI 2015; Halmstad; Sweden; 4 November 2015 through 5 November 2015
Available from: 2016-04-28 Created: 2016-04-28 Last updated: 2017-01-25Bibliographically approved

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Rahman, HamidurBegum, ShahinaAhmed, Mobyen Uddin Ddin
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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf