TY - JOUR
T1 - UAV Maneuvering Target Tracking based on Deep Reinforcement Learning
AU - Gan, Z.
AU - Li, B.
AU - Neretin, E. S.
AU - Dyachenko, S. A.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2021/7/2
Y1 - 2021/7/2
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.
UR - http://www.scopus.com/inward/record.url?scp=85109421927&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1958/1/012015
DO - 10.1088/1742-6596/1958/1/012015
M3 - 会议文章
AN - SCOPUS:85109421927
SN - 1742-6588
VL - 1958
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012015
T2 - 11th International Scientific and Technical Conference on Robotic and Intelligent Aircraft Systems Improving Challenges, RIASIC 2020
Y2 - 10 December 2020 through 11 December 2020
ER -