• DocumentCode
    186720
  • Title

    Detection of drowsy driving based on driving information

  • Author

    Jeong-Woo Lee ; Shin-Kyung Lee ; Cheol-Hong Kim ; Kyong-Ho Kim ; Oh-Cheon Kwon

  • Author_Institution
    IT Convergence Technol. Res. Lab., Electron. & Telecommun. Res. Inst., Daejeon, South Korea
  • fYear
    2014
  • fDate
    22-24 Oct. 2014
  • Firstpage
    607
  • Lastpage
    608
  • Abstract
    A drowsy driving can bring severe traffic accidents. To prevent these accidents and give a warning to a driver, we analyzed the driving information collected from a vehicle simulator and made a model to detect drowsy driving based on vehicle´s behavior such as steering-related and lane-related information. It will be able to provide more effective service for drivers when applied to a vehicle augmented reality system.
  • Keywords
    accident prevention; driver information systems; road accidents; road traffic; driving information; drowsy driving; lane-related information; steering-related information; traffic accident; vehicle simulator; Accidents; Augmented reality; Data mining; Data models; Roads; Vehicles; Wheels; drowsy driving; steering wheel; vehicle simulator; vehicle´s behavior;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Communication Technology Convergence (ICTC), 2014 International Conference on
  • Conference_Location
    Busan
  • Type

    conf

  • DOI
    10.1109/ICTC.2014.6983224
  • Filename
    6983224
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=186720