In the context of target tracking tasks, this study addresses the challenges of target inaccessibility and hovering around the target for UAVs by proposing an improved sparse A* algorithm enhanced with fuzzy logic. The algorithm's heuristic function is meticulously designed to ensure the safety and effectiveness of the target tracking task. A fuzzy optimizer is employed to dynamically adjust the planning step size, thereby balancing the algorithm's efficiency and optimality. Furthermore, by incorporating a variable simulation step, the UAV's speed variations are integrated into the sparse A* algorithm, which not only smooths the flight path but also enhances the dynamic target tracking performance. The simulation results validate the effectiveness of the improved algorithm, demonstrating significant improvements in both path smoothness and tracking accuracy. This approach ensures that UAVs can effectively and safely track moving targets, overcoming common challenges such as target inaccessibility and hovering around the target. The proposed method optimizes overall mission performance, providing a robust solution for dynamic target tracking in complex environments. The findings of this study contribute to the advancement of UAV navigation and control systems, offering practical implications for real-world applications in surveillance, reconnaissance, and other related fields.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A Novel Real-Time Path Planning Method for UAV Based on Fuzzy Logic Sparse A* Algorithm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Liu, Lianqing (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Fu, Wenxing (Herausgeber:in) / Qu, Yi (Herausgeber:in) / Zhou, Yongzhen (Autor:in) / Wu, Zimeng (Autor:in) / Qu, Yaohong (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




    EFFECTIVENESS OF 2D PATH PLANNING IN REAL TIME USING FUZZY LOGIC

    Sabo, C. / Cohen, K. / Kumar, M. et al. | British Library Conference Proceedings | 2010


    Effectiveness of 2D Path Planning in Real Time using Fuzzy Logic

    Sabo, Chelsea / Cohen, Kelly / Kumar, Manish et al. | AIAA | 2010


    Path planning and execution using fuzzy logic

    YEN, JOHN / PFLUGER, NATHAN | AIAA | 1991


    Real-Time Path Planning Algorithm Based on ROS Mobile Robot

    Cao, Kai / Dang, Haixin / Chen, Chaobo et al. | Springer Verlag | 2022


    Real-Time Path Planning Algorithm Based on ROS Mobile Robot

    Cao, Kai / Dang, Haixin / Chen, Chaobo et al. | TIBKAT | 2022