• DocumentCode
    550485
  • Title

    Collaborative pseudolites autonomous navigation for multi-vehicle

  • Author

    Cao Menglong ; Zuo Xiaolei

  • Author_Institution
    Inst. of Autonomous Navig. & Intell. Control, Qingdao Univ. of Sci. & Technol., Qingdao, China
  • fYear
    2011
  • fDate
    22-24 July 2011
  • Firstpage
    4797
  • Lastpage
    4801
  • Abstract
    The main problem with autonomous navigation system that uses GPS is the satellite outages and the mapping of the ambiance in unknown environment. Techniques will be presented to increase position accuracy and navigation robustness in unknown environment by means of collaborative navigation. When vehicle one is navigating, lines of sight to satellites will often be blocked, however, vehicle two at different locations can have different sets of visible satellites and act as virtual satellite. Through collaboration, the satellite information can be shared between vehicles; then, better navigation performance will be achieved. At the same time, vehicle one can map its environment and locate itself accurately even when GPS signal is artificially broken. Simulation results indicate increased accuracy when using the method under investigation. Collaborative autonomous navigation can help several relatively simple vehicles achieve the same performance as expensive and complex platforms.
  • Keywords
    Global Positioning System; terrain mapping; vehicles; GPS; autonomous navigation system; collaborative autonomous navigation; collaborative navigation; collaborative pseudolites autonomous navigation; multivehicle; navigation robustness; satellite information; satellite outages; unknown environment ambiance mapping; virtual satellite; Collaboration; Global Positioning System; Satellites; Simultaneous localization and mapping; Vehicles; Autonomous Vehicle; Simultaneous Localization and Mapping (SLAM); Virtual Satellite;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2011 30th Chinese
  • Conference_Location
    Yantai
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4577-0677-6
  • Electronic_ISBN
    1934-1768
  • Type

    conf

  • Filename
    6000824