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Indoor Localization Based on Weighted Surfacing from Crowdsourced Samples

Fingerprinting-based indoor localization suffers from its time-consuming and labor-intensive site survey. As a promising solution, sample crowdsourcing has been recently promoted to exploit casually collected samples for building offline fingerprint database. However, crowdsourced samples may be ann...

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書目詳細資料
發表在:Sensors (Basel)
Main Authors: Lin, Junhong, Wang, Bang, Yang, Guang, Zhou, Mu
格式: Artigo
語言:Inglês
出版: MDPI 2018
主題:
在線閱讀:https://ncbi.nlm.nih.gov/pmc/articles/PMC6163415/
https://ncbi.nlm.nih.gov/pubmed/30205480
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s18092990
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