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Abstract
The monitoring of a structural condition of steel bridges is an important issue. Good condition of infrastructure facilities ensures the safety and economic well-being of society. At the same time, due to the continuous development, rising wealth of the society and socio-economic integration of countries, the number of infrastructural objects is growing. Therefore, there is a need to introduce an easy-to-use and relatively low-cost method of bridge diagnostics. We can achieve these benefits by the use of Unmanned Aerial Vehicle-Based Remote Sensing and Digital Image Processing. In our study, we present a state-of-the-art framework for Structural Health Monitoring of steel bridges that involves literature review on steel bridges health monitoring, drone route planning, image acquisition, identification of visual markers that may indicate a poor condition of the structure and determining the scope of applicability. The presented framework of image processing procedure is suitable for diagnostics of steel truss riveted bridges. In our considerations, we used photographic documentation of the Fitzpatrick Bridge located in Tallassee, Alabama, USA.
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Authors (3)
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Adam Marchewka dr inż.
- University of Science and Technology in Bydgoszcz
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Victor Aguilar-vidal dr inż.
- Auburn University
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Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
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SENSORS
no. 20,
pages 1 - 21,
ISSN: 1424-8220 - Language:
- English
- Publication year:
- 2020
- Bibliographic description:
- Marchewka A., Ziółkowski P., Aguilar-Vidal V.: Framework for Structural Health Monitoring of Steel Bridges by Computer Vision// SENSORS -Vol. 20,iss. 3 (2020), s.1-21
- DOI:
- Digital Object Identifier (open in new tab) 10.3390/s20030700
- Verified by:
- Gdańsk University of Technology
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