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A Survey of Crowd Sensing Opportunistic Signals for Indoor Localization

发布日期:2016-12-01 18:15:07 阅读次数:[3134]次 作者:

核心提示:来源出版物: MOBILE INFORMATION SYSTEMS

作者: Pei, L (Pei, Ling); Zhang, M (Zhang, Min); Zou, DP (Zou, Danping); Chen, RZ (Chen, Ruizhi); Chen, YW (Chen, Yuwei)
来源出版物: MOBILE INFORMATION SYSTEMS  文献号: 4041291  DOI: 10.1155/2016/4041291  出版年: 2016
摘要: Sensor-rich smartphone enables a novel approach to training the fingerprint database for mobile indoor localization via crowd sensing. In this survey, we discuss the crowd sensing based mobile indoor localization in terms of foundational knowledge, signals of fingerprints, trajectory of obtaining fingerprints, indoor maps, evolution of a fingerprint database, positioning algorithms, state-of-the-art solutions, and challenges. The survey concludes that the crowd sensing is a low cost solution of generating and updating an organic fingerprint database. Although the crowd sensing concept is widely accepted by the academic community in these years, there are a lot of unsolved problems which hinder the concept of transferring into a practical system. We address the challenges and predict future trends in the end. 


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