Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)

Vision Algorithms for UAVs Aerial Refueling Using Probe-drogue

Authors
Zhendong Xu, Yaming Wang, Yanchun Liu, Chaojiang Wan
Corresponding Author
Zhendong Xu
Available Online May 2014.
DOI
https://doi.org/10.2991/iccia.2012.433How to use a DOI?
Keywords
UAV, Autonomous Aerial Refueling, Drogue, Machine Vision, Pose estimation
Abstract

A critical limitation for the current use of Unmanned Aerial Vehicles (UAVs) is represented by the lack of aerial refueling capabilities. This paper describes the results of an effort on the modeling of the refueling soft hose realized by FEM techniques and on the algorithms of the docking control. The algorithms of the docking maneuver is based on Machine Vision (MV).The simulation results with a vision technique capable of estimating the drogue position is presented. Simulation results suggest the proposed algorithm performs the same accuracy with extremely fast speed compared with the current employed algorithms.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Download article (PDF)

Volume Title
Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
Series
Advances in Intelligent Systems Research
Publication Date
May 2014
ISBN
978-94-91216-41-1
ISSN
1951-6851
DOI
https://doi.org/10.2991/iccia.2012.433How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Zhendong Xu
AU  - Yaming Wang
AU  - Yanchun Liu
AU  - Chaojiang Wan
PY  - 2014/05
DA  - 2014/05
TI  - Vision Algorithms for UAVs Aerial Refueling Using Probe-drogue
BT  - Proceedings of the 2012 2nd International Conference on Computer and Information Application (ICCIA 2012)
PB  - Atlantis Press
SP  - 1729
EP  - 1732
SN  - 1951-6851
UR  - https://doi.org/10.2991/iccia.2012.433
DO  - https://doi.org/10.2991/iccia.2012.433
ID  - Xu2014/05
ER  -