Unmanned Aerial Vehicle (UAV) path planning optimizes trajectory for efficient target reach with minimal energy consumption. This study enhances the Target Interception method (TI), to address wind-related challenges. We introduce two adaptations: TI Dynamic Path and TI External Influences. Implementing these methods in a dynamic wind environment yields results demonstrating enhanced reliability and efficiency. This research marks a significant stride in developing more effective UAV path planning algorithms.


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    Title :

    Toward Dynamic Path Planning of Unmanned Aerial Vehicles (UAVs) in Windy Conditions


    Contributors:


    Publication date :

    2024-11-11


    Size :

    1115174 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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