Aiming at the flight path planning problem of intelligent UAVs (swarms), this paper designs a "swarm-type" planning strategy, which improves the distributed spatio-temporal trajectory planning method under special scenarios. According to the spatial distribution of UAVs, the UAV swarm is dynamically divided into a number of groups and isolated UAVs, and a "swarm-type" coordination mechanism is established for UAV trajectory conflicts within each group, and the group planning consists of the improved Efficient Multi-Intelligent Aperture Path Finding (EMAPF) and trajectory co-optimization, which significantly improves the efficiency and safety of the planning. The group planning consists of improved efficient multi-intelligence pathfinding (EMAPF) and joint optimization of trajectories, which significantly improves the planning efficiency and safety.


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    Title :

    Autonomous planning method for intelligent UAV swarm flight path based on swarm policy


    Contributors:
    Wei, Yonghe (editor) / Liu, Fengli (editor) / Guo, Jiaqi (author) / Yin, Yefei (author) / Mu, Xianglong (author) / Zhao, Jinke (author)

    Conference:

    International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023) ; 2023 ; Shenyang, China


    Published in:

    Proc. SPIE ; 13071


    Publication date :

    2024-02-28





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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