Research on Cooperative Tasks of Vehicle and UAV

Aiming at the parking point problem of cooperative operation between vehicle and unmanned aerial vehicle (UAV) in multi-target scenarios, a parking point siting method based on differential evolutionary algorithm is proposed, which is set to minimize mission time as the optimization objective, and continuously adjusts the parking point siting construction by searching the relationship between coordinate points using binary coding, thus adjusting the vehicle's path structure. And the flight path of the UAV is adjusted according to the vehicle siting stopping point to follow, so as to achieve the process of optimizing the task time. The experimental part is tested by means of simulation design, and a better solution is obtained by randomly placing different numbers of target points and demand customer points for experimentation and comparing with other classical algorithms.

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Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/iccece65250.2025.10984606
Primary Topic
Simulation and Modeling Applications
Type
article
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article

Research on Cooperative Tasks of Vehicle and UAV

Yi‐Bing Lin, Herman F. Huang, S. Y. Lin
Simulation and Modeling Applications
article

Research on Cooperative Tasks of Vehicle and UAV

Yi‐Bing Lin, Herman F. Huang, S. Y. Lin
article en

Abstract

Aiming at the parking point problem of cooperative operation between vehicle and unmanned aerial vehicle (UAV) in multi-target scenarios, a parking point siting method based on differential evolutionary algorithm is proposed, which is set to minimize mission time as the optimization objective, and continuously adjusts the parking point siting construction by searching the relationship between coordinate points using binary coding, thus adjusting the vehicle's path structure. And the flight path of the UAV is adjusted according to the vehicle siting stopping point to follow, so as to achieve the process of optimizing the task time. The experimental part is tested by means of simulation design, and a better solution is obtained by randomly placing different numbers of target points and demand customer points for experimentation and comparing with other classical algorithms.

Fujian Electric Power Survey & Design Institute (CN), Fuzhou University (CN)
Openalex Percentile: Top 89%
Simulation and Modeling Applications
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