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

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	Hsu, Chin-Wei	en_US
dc.contributor.author	Liu, Siming	en_US
dc.contributor.author	Lu, Feng	en_US
dc.contributor.author	Chow, Chi-Wai	en_US
dc.contributor.author	Yeh, Chien-Hung	en_US
dc.contributor.author	Chang, Gee-Kung	en_US
dc.date.accessioned	2018-08-21T05:56:28Z	-
dc.date.available	2018-08-21T05:56:28Z	-
dc.date.issued	2018-01-01	en_US
dc.identifier.uri	http://hdl.handle.net/11536/146225	-
dc.description.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.	en_US
dc.language.iso	en_US	en_US
dc.title	Accurate Indoor Visible Light Positioning System utilizing Machine Learning Technique with Height Tolerance	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.journal	2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC)	en_US
dc.contributor.department	光電工程學系	zh_TW
dc.contributor.department	Department of Photonics	en_US
dc.identifier.wosnumber	WOS:000437286300113	en_US
顯示於類別：	會議論文