UAV Maneuvering Target Tracking based on Deep Reinforcement Learning

Z. Gan; B. Li; E. S. Neretin; S. A. Dyachenko

doi:10.1088/1742-6596/1958/1/012015

UAV Maneuvering Target Tracking based on Deep Reinforcement Learning

Z. Gan
, B. Li
, E. S. Neretin
, S. A. Dyachenko

电子信息学院

Northwestern Polytechnical University Xian
Moscow State Aviation Institute

科研成果: 期刊稿件 › 会议文章 › 同行评审

6 引用（Scopus）

摘要

Maneuvering target tracking means that UAV observes the target through sensors, follows the target and maintains the tracking range with the target. Aiming at the target tracking problem of UAV, we built UAV motion model and UAV tracking model based on reinforcement learning, and verified the feasibility and effectiveness of the method in the simulation environment.

源语言	英语
文章编号	012015
期刊	Journal of Physics: Conference Series
卷	1958
期	1
DOI	https://doi.org/10.1088/1742-6596/1958/1/012015
出版状态	已出版 - 2 7月 2021
活动	11th International Scientific and Technical Conference on Robotic and Intelligent Aircraft Systems Improving Challenges, RIASIC 2020 - Moscow, 俄罗斯联邦期限: 10 12月 2020 → 11 12月 2020

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AU - Li, B.

AU - Neretin, E. S.

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N1 - Publisher Copyright: © Published under licence by IOP Publishing Ltd.

PY - 2021/7/2

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N2 - Maneuvering target tracking means that UAV observes the target through sensors, follows the target and maintains the tracking range with the target. Aiming at the target tracking problem of UAV, we built UAV motion model and UAV tracking model based on reinforcement learning, and verified the feasibility and effectiveness of the method in the simulation environment.

AB - Maneuvering target tracking means that UAV observes the target through sensors, follows the target and maintains the tracking range with the target. Aiming at the target tracking problem of UAV, we built UAV motion model and UAV tracking model based on reinforcement learning, and verified the feasibility and effectiveness of the method in the simulation environment.

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DO - 10.1088/1742-6596/1958/1/012015

M3 - 会议文章

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UAV Maneuvering Target Tracking based on Deep Reinforcement Learning

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