中文版 | English
Title

Cognitive Indoor Positioning Using Sparse Visible Light Source

Author
Corresponding AuthorGuo, Lei; Wei, Xuetao
Publication Years
2022-09-01
DOI
Source Title
ISSN
2329-924X
VolumePPIssue:99Pages:1-11
Abstract
Big data and cognitive computing have a wide range of applications in smart homes, smart cities, artificial intelligence, and computational social systems. Visible light positioning systems have attracted more and more attention as one of the application scenarios of computational social systems. In visible light positioning systems, the light-emitting diodes (LEDs) ceiling layout makes the smartphone usually obtain less than three LEDs in captured images. Due to the lack of necessary positioning information, most scholars combine the inertial measurement unit (IMU) with the modified filter algorithms to achieve positioning under the sparse light source. However, these systems have the following problems: 1) the azimuth angle obtained by the IMU is always not accurate, which decreases the positioning accuracy and 2) during the dynamic positioning process, the system's initial position is difficult to automatically determine. In this article, we propose indoor high-precision visible light positioning under the sparse light source. First, we propose the geometric correction mechanism, which uses ellipse fitting to calibrate the azimuth angle, so as to increase the positioning accuracy for the static system. Then, we build a motion model for the entire positioning process through the unscented particle filter (UPF), which does not need to manually set initial state parameters, due to random generated particles. It can increase the positioning accuracy for the dynamic system. We evaluate our designed system, and the experimental results show that the average azimuth angle error is 2.04 degrees and average positioning error is 8.8 cm, under the sparse light source.
Keywords
URL[Source Record]
Indexed By
Language
English
SUSTech Authorship
First ; Corresponding
Funding Project
Natural Science Foundation of Guangdong Province[2021A1515011268] ; Guangdong Basic and Applied Basic Research Foundation[2021A1515110958] ; Support Program for Overseas Students to Return to China for Entrepreneurship and Innovation["cx2021003","cx2021053"] ; Natural Science Foundation of Chongqing[cstc2021jcyj-msxmX0031] ; Chongqing University Innovation Research Group[CXQT21019] ; Chongqing Talents Project[CQYC201903048]
WOS Research Area
Computer Science
WOS Subject
Computer Science, Cybernetics ; Computer Science, Information Systems
WOS Accession No
WOS:000854577800001
Publisher
Data Source
Web of Science
PDF urlhttps://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9889229
Citation statistics
Cited Times [WOS]:0
Document TypeJournal Article
Identifierhttp://kc.sustech.edu.cn/handle/2SGJ60CL/402375
DepartmentDepartment of Computer Science and Engineering
Affiliation
1.Southern Univ Sci & Technol, Dept Comp Sci & Engn, Shenzhen 518055, Peoples R China
2.Northeastern Univ, Sch Comp Sci & Engn, Shenyang 110819, Peoples R China
3.Chongqing Univ Posts & Telecommun, Sch Commun & Informat Engn, Chongqing 400065, Peoples R China
4.Hangzhou Inst Adv Technol, Hangzhou 310058, Peoples R China
First Author AffilicationDepartment of Computer Science and Engineering
Corresponding Author AffilicationDepartment of Computer Science and Engineering
First Author's First AffilicationDepartment of Computer Science and Engineering
Recommended Citation
GB/T 7714
Liu, Xiangyu,Gao, Yujing,Wang, Xiaojie,et al. Cognitive Indoor Positioning Using Sparse Visible Light Source[J]. IEEE Transactions on Computational Social Systems,2022,PP(99):1-11.
APA
Liu, Xiangyu,Gao, Yujing,Wang, Xiaojie,Guo, Lei,&Wei, Xuetao.(2022).Cognitive Indoor Positioning Using Sparse Visible Light Source.IEEE Transactions on Computational Social Systems,PP(99),1-11.
MLA
Liu, Xiangyu,et al."Cognitive Indoor Positioning Using Sparse Visible Light Source".IEEE Transactions on Computational Social Systems PP.99(2022):1-11.
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