Evaluation of Machine Vision Algorithms for Autonomous Aerial Refueling for Unmanned Aerial Vehicles

2007 ◽  
Vol 4 (9) ◽  
pp. 968-985 ◽  
Author(s):  
M.L. Fravolini ◽  
G. Campa ◽  
M.R. Napolitano
Keyword(s):  
Machine Vision ◽  
Unmanned Aerial Vehicles ◽  
Aerial Refueling ◽  
Aerial Vehicles

Vision Algorithms for UAVs Aerial Refueling Using Probe-Drogue

2013 ◽  
Vol 756-759 ◽  
pp. 3410-3413
Author(s):  
Zhen Dong Xu ◽  
Ya Ming Wang ◽  
Yan Chun Liu ◽  
Chao Jiang Wan
Keyword(s):  
Machine Vision ◽  
Unmanned Aerial Vehicles ◽  
Aerial Refueling ◽  
Fast Speed ◽  
Aerial Vehicles ◽  
Simulation Results ◽  
Docking Control ◽  
Vision Technique

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.

Ensuring the Safety of UAV Flights by Means of Intellectualization of Control Systems

2019 ◽  
pp. 287-310 ◽  
Author(s):  
Konstantin Dergachov ◽  
Anatolii Kulik
Keyword(s):  
Computer Vision ◽  
Control System ◽  
Machine Vision ◽  
Unmanned Aerial Vehicles ◽  
Vision System ◽  
Visual Estimation ◽  
Computer Vision System ◽  
Estimation Algorithms ◽  
Aerial Vehicles ◽  
Rational Control

In this chapter, the authors present analysis of reasons for deficient safety of unmanned aerial vehicles (UAV) and further ground an approach to improve the safety by intellectualizing operation of the control system. Intellectualization results from the rational control owing to machine vision means used. A conception of building algorithms for visual evaluating position of the UAV that is equipped with a computer vision system is suggested. Algorithms are illustrated by related investigation of an adapted UAV. Both hardware and software means for realizing the visual estimation algorithms are presented.

scholarly journals Comparison between Edge Detection Methods on UTeM Unmanned Arial Vehicles Images

2018 ◽  
Vol 150 ◽  
pp. 06029
Author(s):  
Zuraini Othman ◽  
Asmala Ahmad ◽  
Fauziah Kasmin ◽  
Sharifah Sakinah Syed Ahmad ◽  
Mohd Yazid Abu Sari ◽  
...  
Keyword(s):  
Machine Vision ◽  
Edge Detection ◽  
Unmanned Aerial Vehicles ◽  
Ground Truth ◽  
The Other ◽  
Detection Methods ◽  
Aerial Vehicles ◽  
The Many ◽  
F Measure

Machine vision calls for the use of detectors to ascertain the features and type of object portrayed in the image. The employment of unmanned aerial vehicles (UAVs), which can function freely in active and precarious settings, is currently gaining momentum. These vehicles are mainly used for the detecting, classifying and tracking of an object. However, the achievement of these objectives necessitates the involvement of an effective edge detection procedure. Sobel, Canny, Prewitt and LoG are among the many edge detection procedures presently available. In this endeavour, we opted for the utilization of UTeM UAVs images for an evaluation of these edge detection procedures. During our investigations, the ground truth edge images were corroborated by a specialist in this field. The results obtained from these investigations revealed that in terms of accuracy, precision, sensitivity and f-measure, the Prewitt procedure outperforms the other methods mentioned.

On-board visual navigation system for unmanned aerial vehicles autonomous aerial refueling

2017 ◽  
Vol 233 (4) ◽  
pp. 1193-1203 ◽  
Author(s):  
Yan Xu ◽  
Haibin Duan ◽  
Cong Li ◽  
Yimin Deng
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Pose Estimation ◽  
Navigation System ◽  
Visual Navigation ◽  
Aerial Refueling ◽  
Estimation Algorithms ◽  
Aerial Vehicles ◽  
Aerial Vehicle ◽  
Hardware Configuration ◽  
Series Of Experiments

In this paper, an on-board binocular visual navigation system based on unmanned aerial vehicles platform is designed for autonomous aerial refueling. The hardware configuration of the entire platform is introduced. Vision algorithms including target tracking, feature extraction, and pose estimation are employed for measuring the relation between two unmanned aerial vehicles. Two situations are considered under long and short distances to make this procedure flexible. Four pose estimation algorithms are implemented and compared in this research. A series of experiments are conducted to verify the feasibility and effectiveness of aerial refueling on the unmanned aerial vehicle platform.

Development of thickened semi-synthetic engine oil M-5z / 20 AERO for four-stroke gasoline engines aircraft piston of unmanned aerial vehicles (UAVs)

2020 ◽  
Vol 06 ◽  
pp. 44-47
Author(s):  
A.A. Moykin ◽  
◽  
A.S. Medzhibovsky ◽  
S.A. Kriushin ◽  
M.V. Seleznev ◽  
...  
Keyword(s):  
Unmanned Aerial Vehicles ◽  
Engine Oil ◽  
Motor Oil ◽  
Gasoline Engines ◽  
State Research Institute ◽  
Technical Requirements ◽  
Aerial Vehicles ◽  
State Research ◽  
Industrial Batch ◽  
The Russian Federation

Nowadays, the creation of remotely-piloted aerial vehicles for various purposes is regarded as one of the most relevant and promising trends of aircraft development. FAU "25 State Research Institute of Chemmotology of the Ministry of Defense of the Russian Federation" have studied the operation features of aircraft piston engines and developed technical requirements for motor oil for piston four-stroke UAV engines, as well as a new engine oil M-5z/20 AERO in cooperation with NPP KVALITET, LLC. Based on the complex of qualification tests, the stated operational properties of the experimental-industrial batch of M-5z/20 AERO oil are generally confirmed.

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