UAV target tracking method based on deep reinforcement learning

Conference paper

Zhang, H., He, P., zhang, M., Chen, D., Neretin, E. and Li, B. (2022). UAV target tracking method based on deep reinforcement learning. 2022 International Conference on Cyber-physical Social Intelligence. Nanjing, China 21 - 24 Oct 2022
AuthorsZhang, H., He, P., zhang, M., Chen, D., Neretin, E. and Li, B.
TypeConference paper
Abstract

This study proposes a UAV target tracking method using reinforcement learning algorithm combined with GRU to promote UAV target tracking and visual navigation in complex environment. Firstly, an algorithm TD3 using deep reinforcement learning and the GRU gated loop unit are introduced. The unit is then added to the neural network to process continuous time data, and the algorithm TD3 is adopted to train the model so that it can drive the UAV to make autonomous flight decisions and accomplish target tracking. Finally, the proposed method is verified on the AirSim simulation platform.

KeywordsGRU; TD3; UAV target tracking; visual navigation
Year2022
Web address (URL)https://iccsi2022.agist.org/index.html
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Print21 Oct 2022
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Accepted21 Sep 2022
Deposited30 Aug 2022
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https://openresearch.lsbu.ac.uk/item/91817

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