An accurate cloud‐based indoor localization system with low latency

Author:

Wang Xiaoying1ORCID,Zhang Xiaodong1ORCID,Zu Chenxi1ORCID,Yang Zijiang2ORCID,Bian Guohua2ORCID,Zhang Yongbiao1ORCID,Ruan Weiqi1ORCID,Wu Benquan1ORCID,Wu Xiaoqi1ORCID,Yuan Lianxiong1ORCID,Wu Qingwu1ORCID,Yang Qintai1ORCID

Affiliation:

1. Third Affiliated Hospital of Sun Yat‐sen University Guangzhou China

2. LocNavi IoT (Guangzhou) Co., Ltd. Guangzhou China

Publisher

Wiley

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Reference27 articles.

1. Recent advances in indoor localization: a survey on theoretical approaches and applications;Yassin A;IEEE Commun Surv Tutor,2017

2. The IPIN 2019 indoor localisation competition—description and results;Potortì F;IEEE Access,2020

3. General Office of the National Health Commission. Notice of General Office of the National Health Commission on issuing the classification and evaluation standard system for smart services in hospitals (trial). Accessed March 18 2019.http://www.nhc.gov.cn/yzygj/s3593g/201903/9fd8590dc00f4feeb66d70e3972ede84.shtml

4. NarzullaevA ParkY JungH.Accurate signal strength prediction based positioning for indoor WLAN systems. IEEE/ION Position Location and Navigation Symposium.2008:685‐688.

5. A Survey of Indoor Localization Systems and Technologies

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