Paper Info
Title
Indoor Localization Through Visible Light Characterization Using Front-Facing Smartphone Camera
Abstract
Research conducted in the field of localization with passive light, or using the intrinsic properties of light to determine a person's location, has seen increased growth in recent years. Specifically, fluorescent lights have been shown to exhibit distinct frequencies which can be recorded, along with their positions, for future lookup and positioning. Developments have been made in utilizing this phenomenon with a smartphone's high-resolution back-facing camera, however the constant flipping between the camera and the screen results in a poor user experience. In this paper, we propose an algorithm for extracting and analyzing both loop-shaped and tubular fluorescent lights. Similarly, we contribute an improved method for detecting frequency characteristics of unmodified fluorescent lights using a smartphone's front facing camera, therefore eliminating the need to constantly flip the phone.
Year
DOI
Venue
2017
10.1109/MASS.2017.102
2017 IEEE 14th International Conference on Mobile Ad Hoc and Sensor Systems (MASS)
Keywords
Field
DocType
visible light localization,indoor positioning system,passive light source,localization with passive light,localization with visible light
Computer vision,User experience design,Computer science,Signal-to-noise ratio,Computer network,Image processing,Visible spectrum,Global Positioning System,Artificial intelligence,Frequency modulation,Light-emitting diode
Conference
ISSN
ISBN
Citations 
2155-6806
978-1-5386-2325-1
0
PageRank 
References 
Authors
0.34
5
6
Name
Order
Citations
PageRank
Charles Carver100.68
Shela Wu200.68
Adriana Rogers300.68
Matthew Stafford411.02
N. Sertac Artan5716.28
Ziqian Dong610113.99