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A New Approach to Reproduce Traffic Accident Based on the Data of Vehicle Video Recorders

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Proceedings of International Conference on Soft Computing Techniques and Engineering Application

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 250))

Abstract

The identification of the responsibility of traffic accident has become a major problem because of the rising accident rates. Limited surveillance video data often restrict its accuracy. More believable data source could be helpful to improve the efficiency and accuracy of the traffic accident identification. In this paper, we propose a new method for traffic accident identification which collects large amount of data through the vehicle video recorder, classifies the data, and then reorganizes the accident video. We design the system architecture and main framework, analyze the concrete realization steps, and explain its feasibility.

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Acknowledgments

This work is supported by “CDIO-based Data Engineering Research and Implementation” (Grant No. Rj010) and National Natural Science Foundation of China (Grant No. 61263043, 61063044).

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Authors and Affiliations

  1. School of Information Science and Engineering, Yunnan University, Kunming, 650091, China

    Hong Li

  2. No.59 BeiMen Street, Kunming, 650091, Yunnan, China

    Qing Kang

  3. School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

    Jing He

Authors
  1. Hong Li
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  2. Qing Kang
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  3. Jing He
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Corresponding author

Correspondence to Jing He .

Editor information

Editors and Affiliations

  1. Dept of Computer Science and Engineering, SOA University, Bhubaneswar, Orissa, India

    Srikanta Patnaik

  2. Electronics and Computer Engg Tech., Indiana State University, Indiana, Indiana, USA

    Xiaolong Li

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© 2014 Springer India

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Li, H., Kang, Q., He, J. (2014). A New Approach to Reproduce Traffic Accident Based on the Data of Vehicle Video Recorders. In: Patnaik, S., Li, X. (eds) Proceedings of International Conference on Soft Computing Techniques and Engineering Application. Advances in Intelligent Systems and Computing, vol 250. Springer, New Delhi. https://doi.org/10.1007/978-81-322-1695-7_26

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  • DOI: https://doi.org/10.1007/978-81-322-1695-7_26

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  • Publisher Name: Springer, New Delhi

  • Print ISBN: 978-81-322-1694-0

  • Online ISBN: 978-81-322-1695-7

  • eBook Packages: EngineeringEngineering (R0)

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