This paper proposes a novel trajectory planning approach for target tracking with multiple UAVs in obstacle environments. It incorporates the dynamic features of fixed-wing UAVs to enhance the effectiveness of tracking systems and the reliability of trajectories. To address the complexity of unresolved models and nonlinear constraints, an improved grey wolf optimizer with efficient and stable (GWO-ES) algorithm is introduced. This algorithm effectively solves trajectory planning problems with multiple constraints in complex environments, enabling continuous target tracking by multiple UAVs. Simulation results indicate that the GWO-ES algorithm exhibits superior search capability and stability, effectively meeting the continuous tracking requirements of multiple UAVs for the target.


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    Titel :

    Multi-UAV Tracking of Ground Moving Target in Obstacle Environments


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Liu, Lianqing (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Fu, Wenxing (Herausgeber:in) / Qu, Yi (Herausgeber:in) / Chen, Guodong (Autor:in) / Tan, Kang (Autor:in) / Yan, Chao (Autor:in) / Yuan, Shuai (Autor:in) / Zhang, Zexu (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2024 ; Shenyang, China September 19, 2024 - September 21, 2024



    Erscheinungsdatum :

    09.04.2025


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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