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Semi-automated procedure for damage detection, localization, and visualization on aircraft fuselages

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Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part G: Journal of Aerospace Engineering, Ahead of Print.
This study presents a semi-automated inspection framework for aircraft fuselage damage detection and localization based on deep learning and 3D reconstruction. The inspection and detection processes are automated by utilizing computer vision algorithms, ...