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.
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Vendra, S., Campa, G., Napolitano, M.R. et al. Addressing corner detection issues for machine vision based UAV aerial refueling. Machine Vision and Applications 18, 261–273 (2007). https://doi.org/10.1007/s00138-006-0056-9
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DOI: https://doi.org/10.1007/s00138-006-0056-9