Demonstration of high precision 3D indoor positioning system based on two-layer ANN machine learning technique

完整後設資料紀錄

DC 欄位	值	語言
dc.contributor.author	He, Jiale	en_US
dc.contributor.author	Hsu, Chin-Wei	en_US
dc.contributor.author	Zhou, Qi	en_US
dc.contributor.author	Tang, Ming	en_US
dc.contributor.author	Fu, Songnian	en_US
dc.contributor.author	Liu, Deming	en_US
dc.contributor.author	Deng, Lei	en_US
dc.contributor.author	Chang, Gee-Kung	en_US
dc.date.accessioned	2019-08-02T02:24:20Z	-
dc.date.available	2019-08-02T02:24:20Z	-
dc.date.issued	2019-01-01	en_US
dc.identifier.isbn	978-1-9435-8053-8	en_US
dc.identifier.uri	http://hdl.handle.net/11536/152470	-
dc.description.abstract	We experimentally demonstrate a high precision 3D indoor visible light positioning system utilizing two-layer machine learning technique. The measured average positioning resolution of <1cm in an unit volume of 0.9 x 1 x 0.4 m(3).	en_US
dc.language.iso	en_US	en_US
dc.title	Demonstration of high precision 3D indoor positioning system based on two-layer ANN machine learning technique	en_US
dc.type	Proceedings Paper	en_US
dc.identifier.journal	2019 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXHIBITION (OFC)	en_US
dc.citation.spage	0	en_US
dc.citation.epage	0	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:000469837300446	en_US
dc.citation.woscount	0	en_US
顯示於類別：	會議論文