With the development and maturity of UAV technology, its application fields are more and more extensive. In the actual flight process of UAV, itis necessary to calculate the safe path efficiently and reliably according to the external environment information. However, the existing UAV path planning algorithm has some limitations such as single applicable type, slow convergence speed, and easy to fall into the local optimum. The application of snake optimization algorithm in UAV path planning can solve the above problems. It can carry out fast and efficient path planning in complex environments, and the application of this algorithm provides a new direction for the problems related to the path planning of unmanned aerial vehicles.


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    Titel :

    Research on UAV path planning based on snake optimization algorithm


    Beteiligte:
    Zhou, Huiyu (Herausgeber:in) / Yang, Qinmin (Herausgeber:in) / Fan, Yan-Ping (Autor:in) / Yao, Meng-Yao (Autor:in) / Li, Lin (Autor:in) / Yang, Kai (Autor:in)

    Kongress:

    International Conference on Algorithm, Imaging Processing, and Machine Vision (AIPMV 2023) ; 2023 ; Qingdao, China


    Erschienen in:

    Proc. SPIE ; 12969


    Erscheinungsdatum :

    09.01.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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