DocumentCode :
3257091
Title :
Lightitude: Indoor Positioning Using Ubiquitous Visible Lights and COTS Devices
Author :
Yiqing Hu ; Yan Xiong ; Wenchao Huang ; Xiang-Yang Li ; Yanan Zhang ; Xufei Mao ; Panlong Yang ; Caimei Wang
Author_Institution :
Sch. of Comput. Sci. & Technol., Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
732
Lastpage :
733
Abstract :
In this paper, we propose a novel indoor localization scheme, Lightitude, by exploiting ubiquitous visible lights, which are necessarily and densely deployed in almost all indoor environments. Different from existing positioning systems that exploit special LEDs, ubiquitous visible lights lack fingerprints that can uniquely identify the light source, which results in an ambiguity problem that an RLS may correspond to multiple candidate positions. Moreover, received light strength (RLS) is not only determined by device´s position, but also seriously affected by its orientation, which causes great complexity in site-survey. To address these challenges, we first propose and validate a realistic light strength model to avoid the expensive site-survey, then harness user´s mobility to generate spatial-related RLS to tackle single RLS´s position-ambiguity problem. Experiment results show that Lightitude achieves mean accuracy 1.93m and 2.24m in office (720m2) and library scenario (960m2) respectively.
Keywords :
indoor navigation; light emitting diodes; optical communication; COTS device; LED; RLS position-ambiguity problem; indoor positioning; lightitude; received light strength model; ubiquitous visible light; Computer science; Libraries; Light emitting diodes; Light sources; Performance evaluation; Robustness; Sensors; Indoor localization; Ubiquitous visible light;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Distributed Computing Systems (ICDCS), 2015 IEEE 35th International Conference on
Conference_Location :
Columbus, OH
ISSN :
1063-6927
Type :
conf
DOI :
10.1109/ICDCS.2015.82
Filename :
7164960
Link To Document :
بازگشت