A Deployment Method for Unmanned Aerial Vehicles Based on Improved Neural Network

The time for drones to complete their missions is limited. When sensors detect targets or perform multiple tasks, the pressure of insufficient resources can be quite high, and even task overload may lead to task failure. This paper focuses on a multi-UAV target assignment method. Compared with the c...

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Bibliographic Details
Published in:Journal of physics. Conference series 2022-12, Vol.2395 (1), p.12080
Main Authors: Yang, Wenda, Wu, Minggong, Wen, Xiangxi, Zhang, Zhe
Format: Article
Language:English
Subjects:
Drone aircraft
Drone vehicles
Neural networks
Physics
Target detection
Unmanned aerial vehicles
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Summary:The time for drones to complete their missions is limited. When sensors detect targets or perform multiple tasks, the pressure of insufficient resources can be quite high, and even task overload may lead to task failure. This paper focuses on a multi-UAV target assignment method. Compared with the classical model-solving method, which can find the satisfactory solution in a short time. Finally, through MATLAB simulation and verification, we find that the method in this paper has better dynamic adaptability to the complex and changeable environments.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/2395/1/012080