Hierarchical Active Tracking Control for UAVs via Deep Reinforcement Learning

Active tracking control is essential for UAVs to perform autonomous operations in GPS-denied environments. In the active tracking task, UAVs take high-dimensional raw images as input and execute motor actions to actively follow the dynamic target. Most research focuses on three-stage methods, which...

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Autores principales: Wenlong Zhao, Zhijun Meng, Kaipeng Wang, Jiahui Zhang, Shaoze Lu
Formato: article
Lenguaje:EN
Publicado: MDPI AG 2021
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Acceso en línea:https://doaj.org/article/5ead3f0d10e6402295ea277f5f0a9cf4
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