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 contributionpeer-review

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 publication2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)
PublisherIEEE
Number of pages3
ISBN (Print)978-1-943580-38-5
StatePublished - 14 Jun 2018
EventOptical Fiber Communications Conference and Exposition (OFC) - San Diego, United States
Duration: 11 Mar 201815 Mar 2018

Conference

ConferenceOptical Fiber Communications Conference and Exposition (OFC)
CountryUnited States
CitySan Diego
Period11/03/1815/03/18

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