Autonomous Landing on a Moving Platform Using Vision-Based Deep Reinforcement Learning
Author:
Affiliation:
1. Department of Mechanical, Aerospace and Civil Engineering, University of Manchester, Manchester, U.K.
2. Department of Mechanical Engineering, Ulsan National Institute of Science and Technology, Ulsan, South Korea
Funder
Basic Science Research Program
National Research Foundation of Korea
Ministry of Education
Korea Government
Unmanned Vehicles Core Technology Research and Development Program
Unmanned Vehicle Advanced Research Center
Ministry of Science and ICT, South Korea
Republic of Korea
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/7083369/10474437/10476692.pdf?arnumber=10476692
Reference28 articles.
1. A tutorial on visual servo control
2. Precise quadrotor autonomous landing with SRUKF vision perception
3. Obtaining World Coordinate Information of UAV in GNSS Denied Environments
4. An auto-landing strategy based on pan-tilt based visual servoing for unmanned aerial vehicle in GNSS-denied environments
5. Robust visual servoing control for quadrotors landing on a moving target
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Vision-Based Algorithm for Autonomous Aerial Landing;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04
2. A Robust Strategy for UAV Autonomous Landing on a Moving Platform under Partial Observability;Drones;2024-05-30
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