• DocumentCode
    2752432
  • Title

    Research on self-parking path planning algorithms

  • Author

    Wang, Daobin ; Liang, Huawei ; Mei, Tao ; Zhu, Hui

  • Author_Institution
    Inst. of Adv. Manuf. Technol., Chinese Acad. of Sci., Changzhou, China
  • fYear
    2011
  • fDate
    10-12 July 2011
  • Firstpage
    258
  • Lastpage
    262
  • Abstract
    Path planning is one of the fundamental aspects of intelligent vehicle navigation. Based on the kinematic model and the actual vehicle parking process, we proposed two improved geometriclly minimum radius and unequal radius path planning algorithms. The computer simulation results showed that two path planning algorithms had expanded significantly the scope of application, meanwhile the combination of two algorithms proposed above had optimized the whole process of parking. The algorithms proposed in this paper have a certain reference value on the study of self-parking.
  • Keywords
    path planning; road vehicles; traffic engineering computing; geometriclly minimum radius path planning algorithm; intelligent vehicle navigation; kinematic model; self-parking path planning algorithm; unequal radius path planning algorithm; Mobile robots; Space exploration; Space vehicles; Trajectory; Wheels; constraint space; minimum parking spaces; path planning; self-parking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Vehicular Electronics and Safety (ICVES), 2011 IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4577-0576-2
  • Type

    conf

  • DOI
    10.1109/ICVES.2011.5983825
  • Filename
    5983825