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文章基本信息

  • 标题:Object Detection by an Autonomous Robot through Data Fusion
  • 本地全文:下载
  • 作者:Tapan Kumar Nayak ; Sanjit Kumar Dash ; Himansu Sekhar Sasmal
  • 期刊名称:International Journal of Computer Science and Information Technologies
  • 电子版ISSN:0975-9646
  • 出版年度:2012
  • 卷号:3
  • 期号:5
  • 页码:4951-4955
  • 出版社:TechScience Publications
  • 摘要:Wireless sensor network is an emerging technology that enables remote monitoring objects and environment. Object tracking is an important wireless sensor networks. Single sensor system cannot provide satisfactory accuracy or reliability as a result of which a system deploys multiple sensors in a particular scenario. To handle uncertain, incomplete and vague information, data fusion technique is applied to a measuring system to reduce effectively overall uncertainty and increase the accuracy. In data fusion Dempster-Shafer evidence theory is an efficient method. Here different bodies of evidences are combined by using Dempster’s combination rule. This paper gives an approach to find the exact location of goal object through data acquisition and fusion by deploying multiple sensors. The work is concentrated on robot how to track the targets and obtain the target position effectively.
  • 关键词:Mobile Robot; Dempster Shafer Evidence Theory;Data Fusion
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