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