• DocumentCode
    3573796
  • Title

    Research on adjustable autonomy architecture for unmanned surface vehicle

  • Author

    Ge Yang ; Xinxing Ma ; Rubo Zhang ; Changting Shi

  • Author_Institution
    Coll. of Comput. Sci. & Technol., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • Firstpage
    5594
  • Lastpage
    5599
  • Abstract
    This paper designed a typical task oriented adjustable autonomy architecture for autonomy control of unmanned surface vehicle (USV). First a two-dimensional classify method of an adjustable autonomy control level is presented, which is applied to the USV system. Then an index system is established for the autonomy control level assessment of USV, which includes the performance of USV, environmental complexity and user status. At the end of this paper the implementation of the architecture is discussed with the example of USV performing an obstacle avoid mission in unknown marine environment.
  • Keywords
    collision avoidance; marine vehicles; remotely operated vehicles; USV; adjustable autonomy control level; autonomy control level assessment; environmental complexity; index system; obstacle avoid mission; task oriented adjustable autonomy architecture; two-dimensional classify method; unknown marine environment; unmanned surface vehicle; user status; Automation; Computer architecture; Computer science; Educational institutions; Indexes; Intelligent control; Vehicles; adjustable autonomy; autonomy level; autonomy level decision; unmanned surface vehicle(USV);
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053672
  • Filename
    7053672