Control-Oriented Real-Time Trajectory Planning for Heterogeneous UAV Formations

Control-Oriented Real-Time Trajectory Planning for Heterogeneous UAV Formations

Aiming at the trajectory planning problem for heterogeneous UAV formations in complex environments, a trajectory prediction model combining Convolutional Neural Networks (CNNs) and Long Short-Term Memory networks (LSTM) is designed, and a real-time trajectory planning method is proposed based on thi...

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Bibliographic Details
Main Authors: Weichen Qian, Wenjun Yi, Shusen Yuan, Jun Guan
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Drones
Subjects:
heterogeneous UAV swarm
trajectory planning
multi-objective particle swarm optimization (MOPSO)
trajectory prediction
deep learning
artificial potential field (APF)
Online Access:https://www.mdpi.com/2504-446X/9/2/78

Internet

https://www.mdpi.com/2504-446X/9/2/78

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