• DocumentCode
    2462191
  • Title

    Applying Visual Image and Satellite Positioning for Fast Vehicle Detection and Lane Marking Recognition

  • Author

    Chang, Bao Rong ; Tsai, Hsiu Fen

  • Author_Institution
    Dept. of Comput. Sci. & Inf. Eng., Nat. Univ. of Kaohsiung, Kaohsiung, Taiwan
  • fYear
    2009
  • fDate
    12-14 Sept. 2009
  • Firstpage
    518
  • Lastpage
    521
  • Abstract
    Vision difference or inattention to the traffic condition often causes the unnecessary traffic accidents while driving. Therefore, this study is to fast detect both the preceding vehicle and lane marking at the least response time 0.5972 seconds. After coordinate transformation converts image plane coordinates of the preceding vehicle to GPS coordinates, the headway between cars is obtained to assist driver in successfully identifying traffic situation. The reduced accident rate for the proposed system is about 70~82%, which performance is superior to the current collision warning system built in VOLVO, Mercedes-Benz, or BMW cars.
  • Keywords
    Global Positioning System; automated highways; automobiles; driver information systems; image recognition; object detection; road accidents; road traffic; GPS; car; collision warning system; coordinate transformation; driver assistance; fast vehicle detection; image plane coordinate; lane marking recognition; road traffic accident; satellite positioning; visual image; Alarm systems; Delay; Global Positioning System; Image converters; Image recognition; Road accidents; Satellites; Vehicle detection; Vehicle driving; Vehicles; Lane marking recognition; Satellite positioning; Vehicle detection; Vision/GPS sensing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Information Hiding and Multimedia Signal Processing, 2009. IIH-MSP '09. Fifth International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-4717-6
  • Electronic_ISBN
    978-0-7695-3762-7
  • Type

    conf

  • DOI
    10.1109/IIH-MSP.2009.160
  • Filename
    5337362