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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Detalles Bibliográficos
Autores principales: Zhao, Jiang, Liu, Han, Sun, Jiaming, Wu, Kun, Cai, Zhihao, Ma, Yan, Wang, Yingxun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680462/
https://www.ncbi.nlm.nih.gov/pubmed/36412725
http://dx.doi.org/10.3390/biomimetics7040197

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9680462/
https://www.ncbi.nlm.nih.gov/pubmed/36412725
http://dx.doi.org/10.3390/biomimetics7040197

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