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Automated Aerial Docking System Using Onboard Vision-Based Deep Learning

  • Published:2022-06 Issue:6 Volume:19 Page:421-436
  • ISSN:2327-3097
  • Container-title:Journal of Aerospace Information Systems
  • language:en
  • Short-container-title:Journal of Aerospace Information Systems

Author:

Choi Andrew Jaeyong1ORCID,Park Jeonghwan1,Han Jae-Hung1ORCID

Affiliation:

1. Korea Advanced Institute of Science and Technology, Daejeon 34141, Republic of Korea

Funder

Korea Evaluation Institute of Industrial Technology

Publisher

American Institute of Aeronautics and Astronautics (AIAA)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Aerospace Engineering

Cited by 11 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. Construction of a measurement system and analytical solution for docking pose of large aircraft components based on draw-wire displacement sensors;Measurement Science and Technology;2024-06-27

2. D2DC: Mid - Air Drone- to- Drone Charging to Enhance Flight Endurance;2024 International Conference on Unmanned Aircraft Systems (ICUAS);2024-06-04

3. Aerial Interaction with Tactile Sensing;2024 IEEE International Conference on Robotics and Automation (ICRA);2024-05-13

4. A Novel Approach to Docking System for Autonomous Unmanned Aerial Vehicles;Lecture Notes in Networks and Systems;2024

5. Unmanned autonomous air-to-air refueling intelligent docking technology;Chinese Journal of Aeronautics;2023-10
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