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

Jiaqi Guo; Yefei Yin; Xianglong Mu; Jinke Zhao

doi:10.1117/12.3025510

28 February 2024 Autonomous planning method for intelligent UAV swarm flight path based on swarm policy

Jiaqi Guo, Yefei Yin, Xianglong Mu, Jinke Zhao

Proceedings Volume 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023); 1307146 (2024) https://doi.org/10.1117/12.3025510
Event: International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 2023, Shenyang, China

Abstract

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.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiaqi Guo, Yefei Yin, Xianglong Mu, and Jinke Zhao "Autonomous planning method for intelligent UAV swarm flight path based on swarm policy", Proc. SPIE 13071, International Conference on Mechatronic Engineering and Artificial Intelligence (MEAI 2023), 1307146 (28 February 2024); https://doi.org/10.1117/12.3025510

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