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

標題:	Accurate Indoor Visible Light Positioning System utilizing Machine Learning Technique with Height Tolerance
作者:	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
公開日期:	1-Jan-2018
摘要:	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
期刊:	2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)
Appears in Collections:	Conferences Paper