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  • 标题:Uncertainty models of vision sensors in mobile robot positioning
  • 本地全文:下载
  • 作者:Piotr Skrzypczyński
  • 期刊名称:International Journal of Applied Mathematics and Computer Science
  • 电子版ISSN:2083-8492
  • 出版年度:2005
  • 卷号:15
  • 期号:1
  • 出版社:De Gruyter Open
  • 摘要:This paper discusses how uncertainty models of vision-based positioning sensors can be used to support the planning and optimization of positioning actions for mobile robots. Two sensor types are considered: a global vision with overhead cameras, and an on-board camera observing artificial landmarks. The developed sensor models are applied to optimize robot positioning actions in a distributed system of mobile robots and monitoring sensors, and to plan the sequence of actions for a robot cooperating with the external infrastructure supporting its navigation
  • 关键词:mobile robots; vision sensors; positioning; uncertainty; action planning; multi-agent systems
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