Accurate indoor visible light positioning system utilizing machine learning technique with height tolerance

Chin Wei Hsu*, Siming Liu, Feng Lu, Chi Wai Chow, Chien Hung Yeh, Gee Kung Chang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Scopus citations

Abstract

An accurate, low-cost indoor visible light positioning system utilizing machine learning technique is proposed and experimentally demonstrated. The average position resolution of the system can achieve 3.65 cm with height tolerance range of 15 cm.

Original languageEnglish
Title of host publicationOptical Fiber Communication Conference, OFC 2018
PublisherOSA - The Optical Society
ISBN (Electronic)9781557528209
DOIs
StatePublished - 1 Jan 2018
EventOptical Fiber Communication Conference, OFC 2018 - San Diego, United States
Duration: 11 Mar 201715 Mar 2017

Publication series

NameOptics InfoBase Conference Papers
VolumePart F84-OFC 2018

Conference

ConferenceOptical Fiber Communication Conference, OFC 2018
CountryUnited States
CitySan Diego
Period11/03/1715/03/17

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  • Cite this

    Hsu, C. W., Liu, S., Lu, F., Chow, C. W., Yeh, C. H., & Chang, G. K. (2018). Accurate indoor visible light positioning system utilizing machine learning technique with height tolerance. In Optical Fiber Communication Conference, OFC 2018 (Optics InfoBase Conference Papers; Vol. Part F84-OFC 2018). OSA - The Optical Society. https://doi.org/10.1364/OFC.2018.M2K.2