• DocumentCode
    2525492
  • Title

    Real-Time Video-Based Lane Tracing System with the Sliding Focus Window

  • Author

    Chen, Wally ; Jian, Leon ; Zhang, Hongke ; Kuo, Sy-Yen

  • Author_Institution
    Dept. of Electr. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2011
  • fDate
    5-8 Sept. 2011
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Lane tracing is the problem of estimating the geometric shape of the lane boundaries based on the image grabbed by a camera on board a vehicle. In this paper, a real-time video-based lane detection method is presented. By analysing the result of lane tracing, the behaviour of the vehicle is traced and the focus windows are placeable, which provides useful information to the next round detection recursively. The system is porting on both PC and iPhone 3G to verify the recognition rate and performance through field testing. With the knowledge of road model, it is applicable to the marked and the unmarked roads, as well as the dash and the solid paint line roads. Experimental results show that the proposed method is robust and the performance is capable for practical applications.
  • Keywords
    edge detection; real-time systems; roads; traffic engineering computing; video cameras; video signal processing; PC; camera image; geometric shape; iPhone 3G; lane boundary; real-time video-based lane tracing system; road model; sliding focus window; solid paint line road; vehicle tracing; Image edge detection; Roads; Shape; Streaming media; Switches; Transforms; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Technology Conference (VTC Fall), 2011 IEEE
  • Conference_Location
    San Francisco, CA
  • ISSN
    1090-3038
  • Print_ISBN
    978-1-4244-8328-0
  • Type

    conf

  • DOI
    10.1109/VETECF.2011.6093187
  • Filename
    6093187