• DocumentCode
    167620
  • Title

    Research on maneuvering model algorithm based on vehicle tracking

  • Author

    Yuncheng Wang ; Qiuyan Li ; Jianhua Wang

  • Author_Institution
    Coll. of Automotive Eng., Jilin Univ., Changchun, China
  • fYear
    2014
  • fDate
    8-9 May 2014
  • Firstpage
    585
  • Lastpage
    588
  • Abstract
    Because of vehicle motion uncertainty make vehicle tracking some disadvantages in vehicle active anti-collision warning system, this paper comes up with the maneuvering model algorithm which uses maneuvering parameter to choose maneuvering target tracking algorithm. Maneuvering parameter is proposed in this paper to judge vehicle´s uncertainty. Maneuvering parameter changes with the change of vehicle´s movement constantly. Dynamic scopes can be divided into three intervals within the scope based on maneuvering model algorithm. The different interval corresponds to the maneuvering target tracking algorithm. Through simulation of vehicle driving condition in urban and residual of vehicle tracking process by maneuvering model algorithm and three maneuvering target tracking algorithms. The conclusion is that maneuvering model algorithm is better than others in vehicle tracking performance. The maneuvering model algorithm proposed in this paper can track vehicle´s driving.
  • Keywords
    Kalman filters; target tracking; Kalman filtering algorithm; maneuvering model algorithm; maneuvering parameter; maneuvering target tracking algorithm; vehicle active anti-collision warning system; vehicle driving condition simulation; vehicle motion uncertainty; vehicle tracking process; Adaptation models; Sonar; maneuvering model algorithm; maneuvering parameter; vehicle tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Computer and Applications, 2014 IEEE Workshop on
  • Conference_Location
    Ottawa, ON
  • Type

    conf

  • DOI
    10.1109/IWECA.2014.6845688
  • Filename
    6845688