• DocumentCode
    1794766
  • Title

    Autonomous route planning for UAV when threats are uncertain

  • 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
    19
  • Lastpage
    22
  • Abstract
    Route planning in 3-D uncertainty environment, especially when the threats are uncertain, is the trend of the UAV (unmanned aerial vehicle) route planning. Against the opacity of enemy threat information, the threat probability model is adopted to determine the location of the threat, and D-S evidence synthesis algorithm is used to determine the threat strength, then to calls D* route planning algorithm getting UAV flight route and forming the "flying, judging and planning" autonomous planning pattern. Paper also analyzes various threats and then establishes 3-D models for these threats. The method turns out to be feasible by simulation.
  • Keywords
    autonomous aerial vehicles; inference mechanisms; path planning; probability; uncertainty handling; D-S evidence synthesis algorithm; Dempster-Shafer algorithm; UAV; autonomous route planning; enemy threat information; flying-judging-and-planning autonomous planning pattern; threat probability model; unmanned aerial vehicle; Algorithm design and analysis; Approximation algorithms; Atmospheric modeling; Heuristic algorithms; Missiles; Planning; Radar; 3-D; D∗ algorithm; D-S evidential synthesis algorithm; Threat Probability Model; Uncertainty Environment;
  • 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.2014.7007214
  • Filename
    7007214