Deep Reinforcement Learning-Based End-to-End Control for UAV Dynamic Target Tracking

Deep Reinforcement Learning-Based End-to-End Control for UAV Dynamic Target Tracking

Uncertainty of target motion, limited perception ability of onboard cameras, and constrained control have brought new challenges to unmanned aerial vehicle (UAV) dynamic target tracking control. In virtue of the powerful fitting ability and learning ability of the neural network, this paper proposes...

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Bibliographic Details
Main Authors: Jiang Zhao, Han Liu, Jiaming Sun, Kun Wu, Zhihao Cai, Yan Ma, Yingxun Wang
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Biomimetics
Subjects:
unmanned aerial vehicle (UAV)
dynamic target
tracking control
deep reinforcement learning (DRL)
end-to-end control
neural network
Online Access:https://www.mdpi.com/2313-7673/7/4/197

Internet

https://www.mdpi.com/2313-7673/7/4/197

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