The authors propose algorithm for the automatic collision avoidance system using fuzzy inference in this paper. DCPA (distance of closest point of approach) and TCPA (time to closest point of approach) are used as parameters for evaluating degree of collision risk which is expressed with collision risk coefficient CR. Numerical simulations assuming several encounter situations of plural ships in collision risk were carried out to confirm validity of the presented automatic collision avoidance system. The simulation results demonstrate that the algorithm works well for the encounter scenarios.


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    Title :

    Development of collision avoidance algorithm using fuzzy inference


    Contributors:
    Kijima, K. (author) / Furukawa, Y. (author)


    Publication date :

    2002


    Size :

    8 Seiten, 9 Quellen


    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English




    Design of Automatic Collision Avoidance System Using Fuzzy Inference

    Kijima, K. / Furukawa, Y. / International Federation of Automatic Control | British Library Conference Proceedings | 2002




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