• DocumentCode
    2653793
  • Title

    An association algorithm for tracking multiple moving objects

  • Author

    Lemeret, Yann ; Lefevre, Eric ; Jolly, Daniel

  • Author_Institution
    Faculte des Sci. Appliquees, Univ. d´´Artois, Bethune
  • fYear
    2006
  • fDate
    17-20 Sept. 2006
  • Firstpage
    1334
  • Lastpage
    1339
  • Abstract
    In the field of intelligent vehicle and in order to raise the road safety, an improvement of the driver´s assistance, more particularly obstacles detection systems, is presented. Objects are detected with sensors laid out on a car, and are then tracked thanks to an association algorithm. Rombaut (1998) association algorithm has been modified in order to have a better decision when data reliability decreases or if one sensor fails. This paper presents Rombaut (1998) association algorithm and the modification made on it. Then, a comparison between the two association algorithms for a decreasing data reliability is made using simulated data. Finally the robustness of the two algorithms was tested with data coming from a CCD camera
  • Keywords
    fault tolerant computing; image motion analysis; object detection; road safety; target tracking; traffic engineering computing; Rombaut association algorithm; data reliability; decision making; driver assistance; intelligent vehicle; multiple moving object tracking; obstacles detection systems; road safety; Intelligent sensors; Intelligent vehicles; Laboratories; Laser radar; Object detection; Radar detection; Radar tracking; Road safety; Robustness; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Transportation Systems Conference, 2006. ITSC '06. IEEE
  • Conference_Location
    Toronto, Ont.
  • Print_ISBN
    1-4244-0093-7
  • Electronic_ISBN
    1-4244-0094-5
  • Type

    conf

  • DOI
    10.1109/ITSC.2006.1707408
  • Filename
    1707408