Addressing corner detection issues for machine vision based UAV aerial refueling

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 com...

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Published inMachine vision and applications Vol. 18; no. 5; pp. 261 - 273
Main Authors Vendra, Soujanya, Campa, Giampiero, Napolitano, Marcello R., Mammarella, Marco, Fravolini, Mario L., Perhinschi, Mario G.
Format Journal Article
LanguageEnglish
Published 01.10.2007
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0932-8092
1432-1769
DOI:10.1007/s00138-006-0056-9