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The Risk Assessment for Unmanned Vehicle Using Bayesian Network

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Geo-Spatial Knowledge and Intelligence (GRMSE 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 699))

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Abstract

The unmanned vehicle shows great potential in national economic. The risk level of unmanned vehicle has direct impact on the development of the unmanned transport industry. The Bayes net for the risk of unmanned vehicle are created. The parameters of net are analyzed, and the quantitative computational method for the evaluation is given. A case study on the typical scene is introduced. The simulation proved the feasibility of the method.

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References

  1. Binjammaz, T., et al.: GPS integrity monitoring for an intelligent transport system. In: 10th Positioning Navigation and Communication (WPNC 2013), pp. 1–6 (2013)

    Google Scholar 

  2. Oehler, V.: The galileo integrity concept. In: 17th International Technical Meeting of the ION GNSS (2004)

    Google Scholar 

  3. Roturier, B.: The SBAS Integrity Concept Standardised by ICAO. Application to EGNOS

    Google Scholar 

  4. Aalmoes, R.: A conceptual third party risk model for personal and unmanned aerial vehicles. In: 2015 International Conference Unmanned Aircraft Systems (ICUAS) (2015)

    Google Scholar 

  5. Wahlström, J.: Risk assessment of vehicle cornering events in GNSS data driven insurance telematics. In: 2014 IEEE 17th International Conference Intelligent Transportation Systems (ITSC) (2014)

    Google Scholar 

  6. Knight, J.: An essay on unmanned aerial systems insurance and risk assessment. In: 2014 IEEE/ASME 10th International Conference Mechatronic and Embedded Systems and Applications (MESA) (2014)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Academy of Opto-Electronics, Beijing, China

    Dapeng Li, Ting Liu, Tingting Cao, Pingke Deng, Ling-chuan Zeng & Yi Qu

Authors
  1. Dapeng Li
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  2. Ting Liu
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  3. Tingting Cao
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  4. Pingke Deng
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  5. Ling-chuan Zeng
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  6. Yi Qu
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Corresponding author

Correspondence to Dapeng Li .

Editor information

Editors and Affiliations

  1. Beijing Institute of Technology, Beijing, China

    Hanning Yuan

  2. Beijing Institute of Technology, Beijing, China

    Jing Geng

  3. Wuhan University, Wuhan, China

    Fuling Bian

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© 2017 Springer Nature Singapore Pte Ltd.

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Li, D., Liu, T., Cao, T., Deng, P., Zeng, Lc., Qu, Y. (2017). The Risk Assessment for Unmanned Vehicle Using Bayesian Network. In: Yuan, H., Geng, J., Bian, F. (eds) Geo-Spatial Knowledge and Intelligence. GRMSE 2016. Communications in Computer and Information Science, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-10-3969-0_23

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  • DOI: https://doi.org/10.1007/978-981-10-3969-0_23

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3968-3

  • Online ISBN: 978-981-10-3969-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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