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Safety Driving Assessment Based on Video Image Sequence Analysis

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Modern Transport Telematics (TST 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 239))

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Abstract

In this paper, a driving assessment mechanism based on video image sequence analysis techniques, such as traffic signs and road markings detection, and inter-vehicular distance estimation, is proposed. A smart device connected to 3G wireless networks is used to collect and send sensory information. These data are analyzed in a cloud computing infrastructure to evaluate personal driving assessment. The traffic signs detection realized by utilizing SIFT feature descriptor and the inter-vehicular distance estimation technique based on simple geometric constraints, are shown in detail.

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References

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Author information

Authors and Affiliations

  1. Kyushu Institute of Technology, 680-4 Kawazu, Iizuka city, Fukuoka, Japan

    Toyohiro Hayashi & Shuichi Enokida

  2. Kagoshima University, 1-21-25 Kourimoto, Kagoshima city, Kagoshima, Japan

    Kentaro Oda

  3. National Institute of Fitness and Sports, 1 Shiromizu, Kanoya city, Kagoshima, Japan

    Tomohito Wada

Authors
  1. Toyohiro Hayashi
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  2. Kentaro Oda
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  3. Tomohito Wada
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  4. Shuichi Enokida
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Editor information

Editors and Affiliations

  1. Faculty of Transport, Silesian University of Technology, Krasinskiego 8, 40-019, Katowice, Poland

    Jerzy Mikulski

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© 2011 Springer-Verlag Berlin Heidelberg

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Hayashi, T., Oda, K., Wada, T., Enokida, S. (2011). Safety Driving Assessment Based on Video Image Sequence Analysis. In: Mikulski, J. (eds) Modern Transport Telematics. TST 2011. Communications in Computer and Information Science, vol 239. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24660-9_4

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  • DOI: https://doi.org/10.1007/978-3-642-24660-9_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24659-3

  • Online ISBN: 978-3-642-24660-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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