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Context-aware smart car: from model to prototype

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Abstract

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.

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Authors and Affiliations

  1. College of Computer Science and Technology, Zhejiang University, Hangzhou, 310027, China

    Jie Sun, Zhao-hui Wu & Gang Pan

Authors
  1. Jie Sun
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  2. Zhao-hui Wu
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  3. Gang Pan
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Corresponding author

Correspondence to Gang Pan.

Additional information

Project supported by the National Hi-Tech Research and Development Program (863) of China (Nos. 2006AA01Z198, and 2008AA01Z132), the National Natural Science Foundation of China (No. 60533040), and the National Science Fund for Distinguished Young Scholars of China (No. 60525202)

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Sun, J., Wu, Zh. & Pan, G. Context-aware smart car: from model to prototype. J. Zhejiang Univ. Sci. A 10, 1049–1059 (2009). https://doi.org/10.1631/jzus.A0820154

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  • DOI: https://doi.org/10.1631/jzus.A0820154

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