Accurate Indoor Visible Light Positioning System utilizing Machine Learning Technique with Height Tolerance

Title:	Accurate Indoor Visible Light Positioning System utilizing Machine Learning Technique with Height Tolerance
Authors:	Hsu, Chin-Wei Liu, Siming Lu, Feng Chow, Chi-Wai Yeh, Chien-Hung Chang, Gee-Kung 光電工程學系 Department of Photonics
Issue Date:	1-Jan-2018
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.
URI:	http://hdl.handle.net/11536/146225
Journal:	2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)
Appears in Collections:	Conferences Paper