• DocumentCode
    517677
  • Title

    Grey evaluation and optimization of UAV´s path planning method

  • Author

    Zhang Da-qiao ; Zhao Jiu-fen ; Wang Ming-hai ; Niu Guo-hua

  • Author_Institution
    Xi´an Res. Inst. of Hi-Tech, Xi´an, China
  • fYear
    2010
  • fDate
    7-10 May 2010
  • Firstpage
    85
  • Lastpage
    88
  • Abstract
    It is important and significant to select a high efficiency path planning method for the operational employ of UAV. According to the characteristic of current path planning methods and the path planning of unmanned aerial vehicle, the paper established an index system which was used to evaluate path planning methods. Based on this, it had an evaluation of path planning method by using grey clustering evaluation method with improved index weigh coefficient, and then explained the application method by combing with a example. From the result of example, it can be seen that using path planning method´s grey clustering evaluation with improved index weigh coefficient can effectively reduce the influence of subjective factor and get a more objective result, furthermore it also provides a effective way to comprehensively and systematically evaluate path planning methods. It can provide decision-making basis for selecting and optimizing path planning method too.
  • Keywords
    aircraft; grey systems; optimisation; path planning; remotely operated vehicles; UAV; grey clustering evaluation; index system; index weigh coefficient; optimization; path planning method; unmanned aerial vehicle; Cities and towns; Cost accounting; Decision making; Evolutionary computation; Mathematical model; Mathematical programming; Optimization methods; Path planning; Statistical analysis; Unmanned aerial vehicles; Unmanned Aerial Vehicle(UAV); grey clustering; grey valuation; path planning method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronic Computer Technology (ICECT), 2010 International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-7404-2
  • Electronic_ISBN
    978-1-4244-7406-6
  • Type

    conf

  • DOI
    10.1109/ICECTECH.2010.5479981
  • Filename
    5479981