posted on 2019-05-16, 15:22authored byPhilipp Huthwohl, Ruodan Lu, Ioannis Brilakis
Bridges are amongst the largest, most expensive and complex structures, which makes them crucial and valuable transportation asset for modern infrastructure. Bridge inspection is a crucial component of monitoring and maintaining these complex structures. It provides a safety assessment and condition documentation on a regular basis, noting maintenance actions needed to counteract defects like cracks, corrosion and spalling. This paper presents the challenges with existing bridge maintenance inspection as well as an overview on proposed methods to overcome these challenges by automating inspection using computer vision methods. As a conclusion, existing methods for automated bridge inspection are able to detect one class of damage type based on images. A multiclass approach that also considers the 3D geometry, as inspectors do, is missing.
Funding
Trimble, EPSRC and the Infravation SeeBridge project.
History
School
Architecture, Building and Civil Engineering
Published in
Proceeding of 16th International Conference on Computing in Civil and Building Engineering
Citation
HUTHWOHL, P., LU, R. and BRILAKIS, I., 2016. Challenges of bridge maintenance Inspection. IN: Yabuki, N. and Makanae, K. (eds). Proceedings of the 16th International Conference on Computing in Civil and Building Engineering (ICCCBE2016), Osaka, Japan, 6-8 July 2018, pp.51-58.
This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/