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Accelerated A* Trajectory Planning: Grid based Path Planning Comparison

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00163361" target="_blank" >RIV/68407700:21230/09:00163361 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Accelerated A* Trajectory Planning: Grid based Path Planning Comparison

  • Original language description

    The contribution of the paper is a high performance pathplanning algorithm designed to be used within a multi-agent planning framework solving a UAV collision avoidance problem. Due to the lack of benchmark examples and available algorithms for 3D+time planning, the algorithm performance has been compared in the classical domain of path planning in grids with blocked and unblocked cells. The Accelerated A* algorithm has been compared against the Theta* path planner, Rapid-Exploring Random Trees-based planners and the original A* searching in graphs providing the shortest any-angle paths. Experiments have shown that Accelerated A* finds the shortest paths in all scenarios including many randomized configurations. Experiments document that Accelerated A*is slower than Theta* and RRT-based planers in many cases, but it is faster than the original A*.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 19th International Conference on Automated Planning & Scheduling/ 4th Workshop on Planning and Plan Execution for Real-World Systems

  • ISBN

    978-1-57735-407-9

  • ISSN

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    AAAI Press

  • Place of publication

    Menlo Park, California

  • Event location

    Thessaloniki

  • Event date

    Sep 16, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article