• DocumentCode
    1768626
  • Title

    Optimal path planning based on spline-RRT* for fixed-wing UAVs operating in three-dimensional environments

  • Author

    Dasol Lee ; HanJun Song ; Shim, David Hyunchul

  • Author_Institution
    Dept. of Aerosp. Eng., Korea Adv. Inst. of Sci. & Technol., Daejeon, South Korea
  • fYear
    2014
  • fDate
    22-25 Oct. 2014
  • Firstpage
    835
  • Lastpage
    839
  • Abstract
    This paper proposes a spline-RRT* algorithm and describes its application to path planning for fixed-wing UAVs operating in three-dimensional environments. The tree structure of the proposed spline-RRT* algorithm is extended by using a spline method based on a cubic Bézier curve. Through the use of this spline method, the algorithm can produce a smooth path without any post-processing and can also handle the initial approach direction, that is, the heading and flight path angle for the target UAV. A dynamic feasibility check, incorporating a geometric collision check, is also run as part of the tree extension, allowing the algorithm to generate a smooth three-dimensional path that is both geometrically and dynamically feasible while also being cost-optimal. Several simulation results show the validity of the proposed spline-RRT* algorithm, implying that it can be effectively applied to path planning for fixed-wing UAVs operating in three-dimensional environments.
  • Keywords
    autonomous aerial vehicles; curve fitting; optimal control; path planning; splines (mathematics); Bézier curve; collision check; feasibility check; fixed-wing UAV; optimal path planning; spline-RRT algorithm; three-dimensional environments; tree structure; Heuristic algorithms; Robots; Splines (mathematics); Fixed-Wing UAV; Path Planning; RRT*; Spline; Spline-RRT*; Three-Dimensional Environment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation and Systems (ICCAS), 2014 14th International Conference on
  • Conference_Location
    Seoul
  • ISSN
    2093-7121
  • Print_ISBN
    978-8-9932-1506-9
  • Type

    conf

  • DOI
    10.1109/ICCAS.2014.6987895
  • Filename
    6987895