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文章基本信息

  • 标题:Efficient fleet size optimization for task allocation of multiple unmanned vehicles
  • 本地全文:下载
  • 作者:Sukmin Yoon ; Jinwhan Kim
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2019
  • 卷号:52
  • 期号:21
  • 页码:297-301
  • DOI:10.1016/j.ifacol.2019.12.323
  • 语种:English
  • 出版社:Elsevier
  • 摘要:An efficient task allocation algorithm is crucial for multi-vehicle collaboration. To achieve the high computational efficiency for task allocation of multiple vehicles, this study proposes an efficient fleet sizing algorithm based on the concept of virtual tasks and a new strategy to reduce the associated computational complexity. The improved computational efficiency and the practical utility of the proposed algorithm are shown through the simulation of a maritime autonomous search mission with multiple autonomous systems.
  • 关键词:KeywordsMulti-vehicle systemsTask allocation-sharingjob designAutonomous vehiclesFleet size optimizationMission planningdecision makingTrajectorypath planning
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