Vision Algorithms for UAVs Aerial Refueling Using Probe-drogue

DOI

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/).

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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  - 10.2991/iccia.2012.433
ID  - Xu2014/05
ER  -