A review of vision-laser-based civil infrastructure inspection and monitoring

H Zhou, C Xu, X Tang, S Wang, Z Zhang - Sensors, 2022 - mdpi.com
Structural health and construction security are important problems in civil engineering.
Regular infrastructure inspection and monitoring methods are mostly performed manually …

A novel transformer model for surface damage detection and cognition of concrete bridges

H Wan, L Gao, Z Yuan, H Qu, Q Sun, H Cheng… - Expert Systems with …, 2023 - Elsevier
Bridges play an important role in modern transportation systems and road networks, and
hence it is essential to use various models based on visual inspection to detect and prevent …

[PDF][PDF] Concrete defects inspection and 3D mapping using CityFlyer quadrotor robot

L Yang, B Li, W Li, H Brand, B Jiang… - IEEE/CAA Journal of …, 2020 - par.nsf.gov
The concrete aging problem has gained more attention in recent years as more bridges and
tunnels in the United States lack proper maintenance. Though the Federal Highway …

Automated wall‐climbing robot for concrete construction inspection

L Yang, B Li, J Feng, G Yang, Y Chang… - Journal of Field …, 2023 - Wiley Online Library
Human‐made concrete structures require cutting‐edge inspection tools to ensure the quality
of the construction to meet the applicable building codes and to maintain the sustainability of …

Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events

Y Bai, B Zha, H Sezen, A Yilmaz - Structural Health …, 2023 - journals.sagepub.com
This paper presents a few comprehensive experimental studies for automated Structural
Damage Detection (SDD) in extreme events using deep learning methods for processing 2D …

Simultaneous pixel-level concrete defect detection and grouping using a fully convolutional model

C Zhang, C Chang, M Jamshidi - Structural Health …, 2021 - journals.sagepub.com
Deep learning techniques have attracted significant attention in the field of visual inspection
of civil infrastructure systems recently. Currently, most deep learning-based visual inspection …

[HTML][HTML] Deep learning-based feature silencing for accurate concrete crack detection

UH Billah, HM La, A Tavakkoli - Sensors, 2020 - mdpi.com
An autonomous concrete crack inspection system is necessary for preventing hazardous
incidents arising from deteriorated concrete surfaces. In this paper, we present a concrete …

Ceramic cracks segmentation with deep learning

GS Junior, J Ferreira, C Millán-Arias, R Daniel… - Applied Sciences, 2021 - mdpi.com
Cracks are pathologies whose appearance in ceramic tiles can cause various damages due
to the coating system losing water tightness and impermeability functions. Besides, the …

Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks

S Shim, J Kim, GC Cho, SW Lee - Structural Health …, 2023 - journals.sagepub.com
The functional performance of concrete structures degrades over time as a result of
continuous loads, stress fatigue, and external environmental changes. Thus, periodic …

End-to-end deep learning methods for automated damage detection in extreme events at various scales

Y Bai, H Sezen, A Yilmaz - 2020 25th International Conference …, 2021 - ieeexplore.ieee.org
Robust Mask R-CNN (Mask Regional Convolutional Neural Network) methods are proposed
and tested for automatic detection of cracks on structures or their components that may be …