This paper presents a review of the current research on scene generation methods, focusing on ship collision avoidance testing. By analyzing the simulation methods of collision avoidance models and algorithms from domestic and foreign research, a virtual scene generation method based on international maritime collision regulations and AIS ship data is proposed. Furthermore, this paper discusses the emerging research trends and the challenges that need to be considered in the validation of autonomous collision avoidance testing of ships. Additionally, this paper introduces the concept of automated intelligent ships, their various levels, and the relevant policies and plans of the Chinese government for the development of intelligent ships.


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    Titel :

    Research Status and Technological Prospects of Scenario Generation Methods for Ship Collision Avoidance Tests


    Beteiligte:
    Liu, Donghao (Autor:in) / Liu, Jialun (Autor:in) / Li, Shijie (Autor:in) / Yang, Fan (Autor:in) / Yang, Zhen (Autor:in)


    Erscheinungsdatum :

    2023-08-04


    Format / Umfang :

    997392 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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    Luo, Nanhang / Hu, Fangyu / Zhao, Kunming et al. | SPIE | 2021


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