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Journal of Zhejiang University SCIENCE A 2009 Vol.10 No.7 P.1049~1059


Context-aware smart car: from model to prototype

Author(s):  Jie SUN, Zhao-hui WU, Gang PAN

Affiliation(s):  College of Computer Science and Technology, Zhejiang University, Hangzhou 310027, China

Corresponding email(s):   gpan@zju.edu.cn

Key Words:  Smart car, Intelligent vehicle, Context-aware, Ubiquitous computing

Jie SUN, Zhao-hui WU, Gang PAN. Context-aware smart car: from model to prototype[J]. Journal of Zhejiang University Science A, 2009, 10(7): 1049~1059.

@article{title="Context-aware smart car: from model to prototype",
author="Jie SUN, Zhao-hui WU, Gang PAN",
journal="Journal of Zhejiang University Science A",
publisher="Zhejiang University Press & Springer",

%0 Journal Article
%T Context-aware smart car: from model to prototype
%A Jie SUN
%A Zhao-hui WU
%A Gang PAN
%J Journal of Zhejiang University SCIENCE A
%V 10
%N 7
%P 1049~1059
%@ 1673-565X
%D 2009
%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.A0820154

T1 - Context-aware smart car: from model to prototype
A1 - Jie SUN
A1 - Zhao-hui WU
A1 - Gang PAN
J0 - Journal of Zhejiang University Science A
VL - 10
IS - 7
SP - 1049
EP - 1059
%@ 1673-565X
Y1 - 2009
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/jzus.A0820154

smart cars are promising application domain for ubiquitous computing. context-awareness is the key feature of a smart car for safer and easier driving. Despite many industrial innovations and academic progresses have been made, we find a lack of fully context-aware smart cars. This study presents a general architecture of smart cars from the viewpoint of context-awareness. A hierarchical context model is proposed for description of the complex driving environment. A smart car prototype including software platform and hardware infrastructures is built to provide the running environment for the context model and applications. Two performance metrics were evaluated: accuracy of the context situation recognition and efficiency of the smart car. The whole response time of context situation recognition is nearly 1.4 s for one person, which is acceptable for non-time critical applications in a smart car.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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siyi zheng<sisizheng@163.com>

2010-06-17 22:28:52

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