Image processing may enhance condition assessment of bridge defects. In this perspective, we propose robotics and computer-aided procedure, which enables quantitative evaluation of defect extension with a specific storage organization, and performed by unmanned aerial vehicle (UAV). The methodology for defect evaluation uses color-based image processing. Data contained in digital images are taken on pre-classified structural elements. A campaign of UAV-based inspections has been performed to evidence the potentiality of the proposed procedure. Recurrent defects, occurring in infrastructure belonging to the Italian National railway system, allow evidencing the main features of the developed image-processing algorithm. The proposed process of damage detection and quantification is discussed with respect to both the level of automation that can be reached in each phase and the robustness of the used image processing adopted procedure.

A robotics and computer-aided procedure for defect evaluation in bridge inspection / Potenza, F.; Rinaldi, C.; Ottaviano, E.; Gattulli, V.. - In: JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING. - ISSN 2190-5452. - 10:3(2020), pp. 471-484. [10.1007/s13349-020-00395-3]

A robotics and computer-aided procedure for defect evaluation in bridge inspection

Rinaldi C.;Gattulli V.
2020

Abstract

Image processing may enhance condition assessment of bridge defects. In this perspective, we propose robotics and computer-aided procedure, which enables quantitative evaluation of defect extension with a specific storage organization, and performed by unmanned aerial vehicle (UAV). The methodology for defect evaluation uses color-based image processing. Data contained in digital images are taken on pre-classified structural elements. A campaign of UAV-based inspections has been performed to evidence the potentiality of the proposed procedure. Recurrent defects, occurring in infrastructure belonging to the Italian National railway system, allow evidencing the main features of the developed image-processing algorithm. The proposed process of damage detection and quantification is discussed with respect to both the level of automation that can be reached in each phase and the robustness of the used image processing adopted procedure.
2020
Computer-aided engineering; Defect detection; Digital image processing; Infrastructure management; Railway bridge; Robotic inspection; Semi-automatic procedure
01 Pubblicazione su rivista::01a Articolo in rivista
A robotics and computer-aided procedure for defect evaluation in bridge inspection / Potenza, F.; Rinaldi, C.; Ottaviano, E.; Gattulli, V.. - In: JOURNAL OF CIVIL STRUCTURAL HEALTH MONITORING. - ISSN 2190-5452. - 10:3(2020), pp. 471-484. [10.1007/s13349-020-00395-3]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1477728
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