• DocumentCode
    176138
  • Title

    Variable probability based bidirectional RRT algorithm for UAV path planning

  • Author

    Wu Xinggang ; Guo Cong ; Li Yibo

  • Author_Institution
    Sch. of Autom., Shenyang Aerosp. Univ., Shenyang, China
  • fYear
    2014
  • fDate
    May 31 2014-June 2 2014
  • Firstpage
    2217
  • Lastpage
    2222
  • Abstract
    Since the traditional rapidly-exploring random tree connect (RRT-connect) algorithm cannot be applied to the problem of unmanned aerial vehicle (UAV) path planning directly, a variable probability based bidirectional RRT algorithm (VPB-RRT) is proposed. The restriction of the turning angle of UAV is joined in the process of generating random points of the programming algorithm, which makes the performance of the track satisfy the conditions for flight. By using this algorithm to identify the probability though rasterizing the planning space and importing the concept of coverage rate, track has been made to satisfy the respects of online time and accuracy of UAV path planning. Compared with the A* algorithm, traditional RRT algorithm and RRT-connect algorithm, the results show that VPB-RRT fully satisfies the requirements of online UAV path planning which with shorter time and higher accuracy.
  • Keywords
    autonomous aerial vehicles; path planning; probability; trees (mathematics); RRT-connect algorithm; VPB-RRT; coverage rate; flight conditions; online UAV path planning; planning space; programming algorithm; random points generation; rapidly-exploring random tree connect algorithm; track performance; turning angle restriction; unmanned aerial vehicle path planning; variable probability based bidirectional RRT algorithm; Educational institutions; Heuristic algorithms; Path planning; Planning; Programming; Turning; Vectors; Coverage Rate; RRT-connect Algorithm; Restriction; UAV Path Planning; Variable Probability Based Bidirectional RRT Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (2014 CCDC), The 26th Chinese
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4799-3707-3
  • Type

    conf

  • DOI
    10.1109/CCDC.2014.6852537
  • Filename
    6852537