Everywhere: A Framework for Ubiquitous Indoor Localization
Author:
Affiliation:
1. Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong
2. College of Environment and Resources, Zhejiang A&F University, Hangzhou, China
Funder
Shenzhen Science and Technology Innovation Commission
Hong Kong Research Grants Council (RGC) Competitive Earmarked Research
Smart City Research Institute of Hong Kong Polytechnic University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
http://xplorestaging.ieee.org/ielx7/6488907/10061500/09951140.pdf?arnumber=9951140
Reference37 articles.
1. A Novel Walking Detection and Step Counting Algorithm Using Unconstrained Smartphones
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3. Unscented Filtering and Nonlinear Estimation
4. Clustering-assisted stacked generalization approach for fingerprint crowdsourcing-based indoor localization;lee;Proc Korean Inf Sci Soc Conf,2020
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