• DocumentCode
    2840735
  • Title

    Research on the driver fatigue monitoring method based on the Dempster-Shafer theory

  • Author

    Sanpeng, Deng ; Xiaoli, Xu ; Xuecui, Yang ; Dehua, Miao

  • Author_Institution
    Dept. of Machine & Vehicle Eng., Beijing Inst. of Technol., Beijing, China
  • fYear
    2010
  • fDate
    26-28 May 2010
  • Firstpage
    4176
  • Lastpage
    4179
  • Abstract
    Fatigue driving is one of the most important factors leading to traffic accidents. It´s of greatest significance to avoid fatigue driving and reduce traffic accidents by monitoring the state of drivers´ fatigue accurately and warning them of their fatigue. A fatigue assessment method based on the weighted Dempster-Shafer (D-S) theory has been proposed by using the detected multi-source information such as the image, human pulse and the steering wheel movement in an imperceptible way so as to enhance the fatigue monitoring accuracy and system robustness.
  • Keywords
    fatigue; gesture recognition; inference mechanisms; road accidents; road traffic; traffic engineering computing; D-S theory; detected multisource information; driver fatigue monitoring method; fatigue assessment method; fatigue driving; fatigue monitoring accuracy; human pulse; image; steering wheel movement; system robustness; traffic accidents; weighted Dempster-Shafer theory; Automotive engineering; Biomedical monitoring; Condition monitoring; Drives; Educational technology; Fatigue; Road accidents; Sensor phenomena and characterization; Uncertainty; Wheels; D-S evidence theory; Driver fatigue; Multi-source information fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2010 Chinese
  • Conference_Location
    Xuzhou
  • Print_ISBN
    978-1-4244-5181-4
  • Electronic_ISBN
    978-1-4244-5182-1
  • Type

    conf

  • DOI
    10.1109/CCDC.2010.5498408
  • Filename
    5498408