Addressing corner detection issues for machine vision based UAV aerial refueling

Authors:
Soujanya Vendra;Giampiero Campa;Marcello R. Napolitano;Marco Mammarella;Mario L. Fravolini;Mario G. Perhinschi
Affiliations:
West Virginia University, Department of Aerospace Engineering, P.O. Box 6106, 26506, Morgantown, WV, USA;West Virginia University, Department of Aerospace Engineering, P.O. Box 6106, 26506, Morgantown, WV, USA;West Virginia University, Department of Aerospace Engineering, P.O. Box 6106, 26506, Morgantown, WV, USA;West Virginia University, Department of Aerospace Engineering, P.O. Box 6106, 26506, Morgantown, WV, USA;University of Perugia, Department of Electronic and Information Engineering, P.O. Box 6106, 06100, Perugia, WV, Italy;West Virginia University, Department of Aerospace Engineering, P.O. Box 6106, 26506, Morgantown, WV, USA
Venue:
Machine Vision and Applications
Year:
2007

Citing 5
Cited 1

Finding corners

Image and Vision Computing
Parameterized Point Pattern Matching and Its Application to Recognition of Object Families

IEEE Transactions on Pattern Analysis and Machine Intelligence
Matching feature points in image sequences through a region-based method

Computer Vision and Image Understanding
SUSAN—A New Approach to Low Level Image Processing

International Journal of Computer Vision
Edge detector evaluation using empirical ROC curves

Computer Vision and Image Understanding - Special issue on empirical evaluation of computer vision algorithms

Comparison of point matching algorithms for the UAV aerial refueling problem

Machine Vision and Applications

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Abstract

This paper describes the results of the analysis of specific ‘corner detection’ algorithms within a Machine Vision approach for the problem of aerial refueling for unmanned aerial vehicles. Specifically, the performances of the SUSAN and the Harris corner detection algorithms have been compared. A critical goal of this study was to evaluate the interface of these feature extraction schemes with the successive detection and labeling, and pose estimation schemes in the overall scheme. Closed-loop simulations were performed using a Simulink®-based simulation environment to reproduce docking maneuvers using the US Air Force refueling boom.