Paper Info
Title
LiTell: indoor localization using unmodified light fixtures: demo.
Abstract
Owing to dense deployment of light fixtures and multipath-free propagation, visible light localization technology holds potential to overcome the reliability issue of radio localization. However, existing visible light localization systems require customized light hardware, which increases deployment cost and hinders near term adoption. We present LiTell, a simple and robust localization scheme that employs unmodified fluorescent lights (FLs) as location landmarks and commodity smartphones as light sensors. LiTell builds on the key observation that each FL has an inherent characteristic frequency, which can serve as a discriminative feature. It incorporates a set of sampling, signal amplification and camera optimization mechanisms, that enable a smartphone to capture the extremely weak and high frequency (> 80 kHz) features. We have implemented LiTell as a real-time localization and navigation system on Android. In our experiments, LiTell demonstrates high reliability in discriminating different FLs, and great potential to achieve sub-meter granularity.
Year
DOI
Venue
2016
10.1145/2973750.2985612
MobiCom'16: The 22nd Annual International Conference on Mobile Computing and Networking New York City New York October, 2016
Keywords
Field
DocType
Visible light sensing,Visible light localization,Indoor localization
Visible light sensing,Android (operating system),Software deployment,Computer science,Navigation system,Real-time computing,Granularity,Discriminative model,Distributed computing,Embedded system
Conference
ISBN
Citations 
PageRank 
978-1-4503-4226-1
3
0.39
References 
Authors
8
2
Name
Order
Citations
PageRank
C. Zhang126119.93
Xinyu Zhang2134378.62