As an important measure of the national economic strategy, the research and application of unmanned ships have promoted the development of the marine economy and are conducive to reducing marine transportation costs and labor costs. It can be specifically applied to various engineering minerals, fishery transportation, ships, and island resource replenishment, as well as ocean mapping and hydrological monitoring. This paper studies the autonomous navigation tasks of unmanned ships. The core of its technology lies in global path planning and local obstacle avoidance. Global planning specifically includes the acquisition of global sea environment information and the realization of path planning algorithms. Autonomous navigation technology is of great significance to the use of unmanned ships. This paper focuses on the analysis and implementation of global path planning algorithms, and the research and implementation of dynamic obstacle target detection and tracking algorithms in the process of local obstacle avoidance.


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    Titel :

    Research on autonomous collision avoidance system for unmanned ship


    Beteiligte:
    Luo, Nanhang (Autor:in) / Hu, Fangyu (Autor:in) / Zhao, Kunming (Autor:in) / Du, Zhaowei (Autor:in) / Yan, Zijie (Autor:in)

    Kongress:

    International Conference on Electronic Information Engineering and Computer Technology (EIECT 2021) ; 2021 ; Kunming,China


    Erschienen in:

    Proc. SPIE ; 12087


    Erscheinungsdatum :

    14.12.2021





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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