• DocumentCode
    1794768
  • Title

    Joint route planning algorithm for RUAV when goal is vague

  • Author

    Jian Wu ; Donghao Zhang ; Denghong Pei

  • Author_Institution
    650 Res. Inst., Hongdu Aviation Ind. Group, Nanchang, China
  • fYear
    2014
  • fDate
    8-10 Aug. 2014
  • Firstpage
    23
  • Lastpage
    27
  • Abstract
    The route planning of RUAV (Reconnaissance Unmanned Aerial Vehicle) in unknown environment is a difficult problem, especially when goal is vague. In order to solve the problem, paper proposes the Regional Heuristic D*(RHD*) algorithm. This method divides the whole environment into a series of quasi-goal regions, and then calls RHD* algorithm to get the reference route. When the RUAV flying along with the reference route planed, it keeps invoking the AHP (Analytic Hierarchy Process) to judge if an object can be considered as the goal, until it finds out the goal and completes the route planning. The mentioned method that combines AHP with RHD*algorithm, is demonstrated effectively by simulation results.
  • Keywords
    analytic hierarchy process; autonomous aerial vehicles; path planning; AHP; RHD* algorithm; RUAV; analytic hierarchy process; joint route planning algorithm; reconnaissance unmanned aerial vehicle; regional heuristic D* algorithm; Algorithm design and analysis; Analytic hierarchy process; Conferences; Heuristic algorithms; Path planning; Planning; Reconnaissance; AHP; Goal vague; Quasi-target region; RHD∗ algorithm; RUAV; Reference route;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Guidance, Navigation and Control Conference (CGNCC), 2014 IEEE Chinese
  • Conference_Location
    Yantai
  • Print_ISBN
    978-1-4799-4700-3
  • Type

    conf

  • DOI
    10.1109/CGNCC.2014.7007215
  • Filename
    7007215