• DocumentCode
    2746571
  • Title

    Forward vehicle detection system based on lane-marking tracking with fuzzy adjustable vanishing point mechanism

  • Author

    Chi, Fu-Hsaing ; Huo, Chih-Li ; Yu, Yu-Hsaing ; Sun, Tsung-Ying

  • Author_Institution
    Dept. of Electr. Eng., Nat. Dong Hwa Univ., Hualien, Taiwan
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Based on lane-marking tracking with fuzzy adjustable vanishing point mechanism, this paper presents robustness forward vehicle detection system. Compared to most of the detection systems with a large curvature of road trend, which are not effective for the routes to detection and marking. Therefore, follow the current image frame, the proposed system calculate the error between lane detection point and regressed lane-marking lines, and then fuzzy inference system derive and update the proper vanishing point in next image frame. The algorithm proposed in this paper can be carried out for different road situations and adaptive tuning of the car camera has been successfully tested and proven for the highway to the robustness of the system.
  • Keywords
    automated highways; fuzzy reasoning; fuzzy set theory; object detection; object tracking; regression analysis; video cameras; video surveillance; adaptive tuning; car camera; forward vehicle detection system; fuzzy adjustable vanishing point mechanism; fuzzy inference system; highway; image frame; lane detection point; lane marking line regression; lane marking tracking; Adaptive systems; Cameras; Roads; Robustness; Strontium; Vehicle detection; Vehicles; Forward vehicle detection; Fuzzy adjustable vanishing point; Lane-marking tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4673-1507-4
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2012.6250840
  • Filename
    6250840