A Hybrid Indoor Positioning Approach for Supermarkets

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• 作者：Weishan Zhang (24)
  Yuhao Wang (24)
  Licheng Chen (24)
  Yan Liu (24)
  Yuan Rao (25)
  
• 刊名：Lecture Notes in Computer Science
• 出版年：2013
• 出版时间：2013
• 年：2013
• 卷：7759
• 期：1
• 页码：317-318
• 全文大小：521KB
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• 作者单位：Weishan Zhang (24)
  Yuhao Wang (24)
  Licheng Chen (24)
  Yan Liu (24)
  Yuan Rao (25)
  
  24. Department of Software Engineering, China University of Petroleum, No. 66 Changjiang West Road, Qingdao, China, 266580
  25. College of Software Engineering, Xi鈥檃n Jiaotong University, Xi鈥檃n, 710049, China
  
• ISSN：1611-3349

文摘

A navigation service that can provide positioning functionalities is benefitial to both customers and supermarkets. Although there are quite a number of indoor positioning algorithms, the accuracy of the existing approaches is not very satisfying. In this paper, we propose a hybrid approach that combines Weighted Centroid Localizatioin Algorithm, Dynamic Position Tracking Model and Location Approximation Algorithm based on Received Signal Strength. The evaluations show that the proposed approach can achieve better accuracy than the existing approaches, with approximately 20% to 40% improvement.