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  • 标题:Multi-vehicle relative localization based on single range measurements
  • 本地全文:下载
  • 作者:Daniela De Palma ; Giovanni Indiveri ; Gianfranco Parlangeli
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2015
  • 卷号:48
  • 期号:5
  • 页码:17-22
  • DOI:10.1016/j.ifacol.2015.06.457
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractMost cooperative motion tasks of multi vehicle systems require the agents to share relative localization information. Assuming the relative velocity of the vehicles to be known, under suitable observability conditions, relative localization among a pair of agents can be performed based on single range measurements. The problem addressed consists in designing a relative localization solution for a networked group of vehicles measuring mutual ranges: in particular, the objective is to exploit the presence of intra-vehicle communications to enhance the range-based relative position estimation. Geometrical constraints associated to the agents' (unknown) positions are explicitly accounted for in the estimation schema. The approach brings together a recent single range localization solution with a projection based Kalman filter estimation technique in the presence of state space constraints. Simulation examples are provided showing the effectiveness of the proposed solution.
  • 关键词:KeywordsAutonomous vehiclesMobile robotsRobot navigationState estimationMarine systems
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