Drogue detection for autonomous aerial refueling based on convolutional neural networks-Reference-Cited by-同舟云学术

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Drogue detection for autonomous aerial refueling based on convolutional neural networks

Published:2017-02 Issue:1 Volume:30 Page:380-390
ISSN:1000-9361
Container-title:Chinese Journal of Aeronautics
language:en
Short-container-title:Chinese Journal of Aeronautics

Author:

Wang Xufeng,Dong Xinmin,Kong Xingwei,Li Jianmin,Zhang Bo

Funder

National Basic Research Program of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Mechanical Engineering,Aerospace Engineering

Reference33 articles.

1. Nalepka JP, Hinchman JL. Automated aerial refueling: extending the effectiveness of unmanned air vehicles. Reston: AIAA; 2005. Report No.: AIAA-2005-6005.

2. Hansen JL, Murray JE, Campos NV. The NASA Dryden AAR project: a flight test approach to an aerial refueling system. Reston: AIAA; 2004. Report No.: AIAA-2004-4939.

3. Addressing pose estimation issues for machine vision based UAV autonomous serial refuelling;Campa;Aeronaut J,2007

4. Progress and challenges in automatic aerial refueling;Dong;J Air Force Eng Univ Nat Sci Edn,2008

5. Vision-based estimation of relative pose in autonomous aerial refueling;Ding;Chin J Aeronaut,2011

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