Title
Smart automotive lighting for vehicle safety
Abstract
It is believed that vehicle-to-vehicle (V2V) communications and accurate positioning with sub-meter error could bring vehicle safety to a different level. However, to this date it is still unclear whether the envisioned V2V standard, dedicated short-range communications, can become available in commercially available vehicle products, while widely available consumergrade GPS receivers do not provide the required accuracy for many safety applications. In this article, combining visible light communications and visible light positioning, we propose the use of smart automotive lighting in vehicle safety systems. These lights would be able to provide the functions of illumination and signaling, reliable communications, and accurate positioning in a single solution. The proposed solution has low complexity, and is shown to be scalable in high vehicle density and fast topology changing scenarios. In this article, we also present several design guidelines for such a system, based on the results of our analytic and empirical studies. Finally, evaluation of our prototype provides evidence that the system can indeed detect potential risks in advance and provide early warnings to the driver in real-world scenarios, lowering the probability of traffic accidents.
Year
DOI
Venue
2013
10.1109/MCOM.2013.6685757
IEEE Communications Magazine
Keywords
Field
DocType
design guidelines,visible light communications,global positioning system,road safety,lighting,vehicle density,consumer-grade gps receivers,v2v standard,reliable communications,visible light positioning,smart automotive lighting,communications,safety applications,mobile radio,signaling,vehicle safety systems,v2v communications,automotive electronics,real-world scenarios,short-range communications,radio receivers,submeter error,traffic accidents probability,illumination,radio frequency
Automotive electronics,Mobile radio,Computer science,Real-time computing,Visible light communication,Global Positioning System,Vehicle safety,Empirical research,Distributed computing,Scalability,Automotive industry,Embedded system
Journal
Volume
Issue
ISSN
51
12
0163-6804
Citations 
PageRank 
References 
43
2.39
8
Authors
4
Name
Order
Citations
PageRank
Shun-Hsiang Yu1493.01
Oliver Shih2452.79
Hsin-Mu Tsai330529.74
Richard D. Roberts430225.20