• DocumentCode
    3410013
  • Title

    A Fast and Effective Approach to Lane Marking and Neighboring Vehicles Detections Based on Vision/GPS Sensing Together with Vehicle-to-Vehicle Communication

  • Author

    Chang, Bao Rong ; Tsai, Hsiu Fen ; Young, Chung-Ping

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Taitung Univ., Taitung, Taiwan
  • Volume
    1
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    3
  • Lastpage
    8
  • Abstract
    A fast warning response to an impending crash based on vision/GPS sensing together with V2V communication has been realized to achieve line marking recognition, neighboring vehicles detection, and headway estimation, where a distributed embedded dual-platform DaVinci+XScale-NAV270 was built to improve system effectiveness as well as a data fusion QT-BPNN/ANFIS was applied to dissolving the heterogeneous data. GPS information for each car was exchanged and disseminated each other via dedicated short range communication (DSRC). It performs at the least response time 0.5972 seconds and gets reduced accident rate about 70~82%, superior to two alternative collision warning systems.
  • Keywords
    Global Positioning System; accident prevention; embedded systems; image recognition; mobile radio; road accidents; sensor fusion; DaVinci+XScale-NAV270; QT-BPNN-ANFIS; collision warning system; data fusion; distributed embedded dual-platform; headway estimation; lane marking recognition; neighboring vehicle detection; vehicle-to-vehicle communication; vision-GPS sensing; Alarm systems; Computer science; Global Positioning System; Hybrid intelligent systems; Pixel; Road accidents; Road vehicles; Telecommunication traffic; Vehicle detection; Vehicle driving; headway estimation; line marking recognition; neighboring vehicles detection; v2v communication; vision/GPS sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-0-7695-3745-0
  • Type

    conf

  • DOI
    10.1109/HIS.2009.8
  • Filename
    5254370