Reinforcement Learning Based Path Planning for Autonomous Shipboard Landing of UAV in Maritime

Author:

Park Hanseok,Bang Hyochoong

Publisher

KNST (Korea society for Naval Science and Technology)

Subject

Materials Science (miscellaneous)

Reference12 articles.

1. G. J. Duan and P. F. Zhang, “Research on Application of UAV for Maritime Supervision,” Journal of Shipping and Ocean Engineering, No. 4, pp. 322–326, 2014.

2. Dan Gettinger, “Summary of Drone spending in the FY 2019 Budget Request,” Center for the Study of the Drone at Bard College, 2018.

3. Kim, J. G. and Lee, S. H., “Study on Possible Use of Navy's Future Military Drone,” Proceedings of the Korean Society of Computer Information Conference, Vol. 28, No. 1, pp. 83-86, 2020.

4. Current trends in the development of intelligent unmanned autonomous systems

5. UAV Maneuvering Target Tracking based on Deep Reinforcement Learning

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