• DocumentCode
    2415839
  • Title

    Embedded vehicle lane-marking tracking system

  • Author

    Sun, Tsung-Ying ; Huang, Wei-Chih

  • Author_Institution
    Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
  • fYear
    2009
  • fDate
    25-28 May 2009
  • Firstpage
    627
  • Lastpage
    631
  • Abstract
    This paper implements an embedded multi-core DSP system for vehicle vision-based lane-marking tracking. A fast algorithm based on Kalman filter and boundary detection is proposed in this system. The developed system can reduce the complexity of vision data processing and meet the real-time requirements.
  • Keywords
    Kalman filters; computer vision; digital signal processing chips; edge detection; embedded systems; road vehicles; tracking filters; traffic engineering computing; Kalman filter; boundary detection; embedded multicore DSP system; vehicle vision-based lane-marking tracking system; vision data processing complexity reduction; Consumer electronics; Data processing; Digital signal processing; Linear systems; Noise measurement; Roads; Sun; Trajectory; Vectors; Vehicle driving; Kalman Filter; Land-Marking Tracking; embedded Multi-core DSP system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Consumer Electronics, 2009. ISCE '09. IEEE 13th International Symposium on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4244-2975-2
  • Electronic_ISBN
    978-1-4244-2976-9
  • Type

    conf

  • DOI
    10.1109/ISCE.2009.5156960
  • Filename
    5156960