• DocumentCode
    2743907
  • Title

    Driver Fatigue Detection: A Survey

  • Author

    Wang, Qiong ; Yang, Jingyu ; Ren, Mingwu ; Zheng, Yujie

  • Author_Institution
    Dept. of Comput. Sci., Nanjing Univ. of Sci. & Technol.
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    8587
  • Lastpage
    8591
  • Abstract
    Driver fatigue is an important factor in a large number of accidents. There has been much work done in driver fatigue detection. This paper presents a comprehensive survey of research on driver fatigue detection and provides structural categories for the methods which have been proposed. The methods of fatigue detection mainly focused on measures of the driver´s state, driver performance and the combination of the driver´s state and performance. The measures of driver´s state included PERCLOS, mouth shape and head position; the measures of driver performance included lane tracking and tracking of distance between vehicles. These approaches are presented and discussed in detail. Some typical driver monitoring systems are also introduced in this paper. Finally, summary and conclusions are presented
  • Keywords
    computer vision; gesture recognition; road safety; road vehicles; traffic engineering computing; PERCLOS; driver fatigue detection; driver monitoring systems; driver performance; driver state; head position; lane tracking; mouth shape; vehicle distance tracking; Biomedical monitoring; Eyes; Fatigue; Mouth; Position measurement; Road accidents; Shape measurement; Vehicle driving; Vehicle safety; Wheels; driver fatigue; driver monitoring system; fatigue detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1713656
  • Filename
    1713656