Research on UAV multi-aircraft path planning based on deep learning

Zhi Zhao; Lian Duan; Xue Qiu

doi:10.1117/12.2619925

22 December 2021 Research on UAV multi-aircraft path planning based on deep learning

Zhi Zhao, Lian Duan, Xue Qiu

Proceedings Volume 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021); 1205828 (2021) https://doi.org/10.1117/12.2619925
Event: 5th International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 2021, Chongqing, China

Abstract

Aiming at the difficulty of traditional unmanned and path planning methods to achieve the task execution of UAVs in complex mountain environments, a three-bit UAV based on multiple algorithms such as A-star algorithm, ant colony algorithm, interpolation algorithm and tolerance algorithm is proposed. Path planning algorithm. By optimizing the UAV path through the algorithm, the UAV path can finally be smoother and the body group coordination can be realized, which improves the airspace utilization rate and flight safety rate.

Citation Download Citation

Zhi Zhao, Lian Duan, and Xue Qiu "Research on UAV multi-aircraft path planning based on deep learning", Proc. SPIE 12058, Fifth International Conference on Traffic Engineering and Transportation System (ICTETS 2021), 1205828 (22 December 2021); https://doi.org/10.1117/12.2619925

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