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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    Title :

    The Risk Assessment for Unmanned Vehicle Using Bayesian Network


    Contributors:
    Li, Dapeng (author) / Liu, Ting (author) / Cao, Tingting (author) / Deng, Pingke (author) / Zeng, Ling-chuan (author) / Qu, Yi (author)


    Publication date :

    2017-01-01


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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