• DocumentCode
    1378250
  • Title

    Feasible and Optimal Path Planning in Strong Current Fields

  • Author

    Soulignac, Michaël

  • Author_Institution
    Inst. Super. d´´Electron. et du Numerique, Lille, France
  • Volume
    27
  • Issue
    1
  • fYear
    2011
  • Firstpage
    89
  • Lastpage
    98
  • Abstract
    This paper addresses the problem of path planning in strong current fields. In such situations, existing approaches are subject to incorrectness and incompleteness issues. That is, they may return physically infeasible paths or no path at all, even if a feasible path exists. That is why we propose here a new approach called the sliding wavefront expansion. This algorithm, which combine an appropriate cost function and continuous optimization techniques, guarantees the existence of a path with an arbitrary precision. The validity and the global optimality of the path are theoretically proven. Simulation results on realistic environments, which is based on actual wind charts, are also provided.
  • Keywords
    mobile robots; optimisation; path planning; autonomous robots; autonomous underwater vehicle; continuous optimization techniques; cost function; mission planning; path planning; sliding wavefront expansion; strong current fields; unmanned air vehicle; Autonomous underwater vehicle; currents; mission planning; path planning; unmanned air vehicle; wind;
  • fLanguage
    English
  • Journal_Title
    Robotics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1552-3098
  • Type

    jour

  • DOI
    10.1109/TRO.2010.2085790
  • Filename
    5635349