• DocumentCode
    2013743
  • Title

    Dynamic motion planning for autonomous vehicle in unknown environments

  • Author

    Zhao, Pan ; Chen, Jiajia ; Mei, Tao ; Liang, Huawei

  • Author_Institution
    Inst. of Intell. Machines, Chinese Acad. of Sci., Hefei, China
  • fYear
    2011
  • fDate
    5-9 June 2011
  • Firstpage
    284
  • Lastpage
    289
  • Abstract
    A dynamic motion planning approach for an autonomous vehicle navigated without GPS and unmanned driven in unknown environments is presented. The unknown environments bring several technology challenges, including high-speed operation, complex interaction with environment, parking in unstructured lots, and passing dynamic obstacles. In this approach, we combine the global path planning and the local path planning with a hierarchical structure. The exploration method to navigate in unknown environments is described in detail. An autonomous vehicle, Intelligent Pioneer, was developed to verify the dynamic motion planning approach. The Intelligent Pioneer showed good performances in dynamic motion planning and won the first prize of the 2010 Future Challenge of Intelligent Vehicles in China.
  • Keywords
    automated highways; collision avoidance; mobile robots; remotely operated vehicles; autonomous vehicle; complex interaction; dynamic motion planning; dynamic obstacles; global path planning; high-speed operation; intelligent pioneer; local path planning; parking; unknown environments; unmanned vehicles; unstructured lots; Mobile robots; Path planning; Planning; Real time systems; Roads; Sensors; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium (IV), 2011 IEEE
  • Conference_Location
    Baden-Baden
  • ISSN
    1931-0587
  • Print_ISBN
    978-1-4577-0890-9
  • Type

    conf

  • DOI
    10.1109/IVS.2011.5940506
  • Filename
    5940506