Image Processing Techniques for Concrete Crack Detection: A Scientometrics Literature Review

MAM Khan, SH Kee, ASK Pathan, AA Nahid - Remote Sensing, 2023 - mdpi.com
Cracks in concrete surfaces are one of the most prominent causes of the degradation of
concrete structures such as bridges, roads, buildings, etc. Hence, it is very crucial to detect …

[HTML][HTML] Road damage detection using super-resolution and semi-supervised learning with generative adversarial network

S Shim, J Kim, SW Lee, GC Cho - Automation in construction, 2022 - Elsevier
Road maintenance technology is required to maintain favorable driving conditions and
prevent accidents. In particular, a sensor technology is required for detecting road damage …

A triple-thresholds pavement crack detection method leveraging random structured forest

C Peng, M Yang, Q Zheng, J Zhang, D Wang… - … and Building Materials, 2020 - Elsevier
Automatic pavement crack detection has attracted increasing attention in the field of national
infrastructure maintenance and rehabilitation. However, due to inhomogeneous crack pixel …

Pavement crack detection network based on pyramid structure and attention mechanism

X Xiang, Y Zhang, A El Saddik - IET Image Processing, 2020 - Wiley Online Library
Automatic detection of pavement crack is an important task for conducting road
maintenance. However, as an important part of the intelligent transportation system …

Fully convolution network architecture for steel-beam crack detection in fast-stitching images

S Wang, C Liu, Y Zhang - Mechanical Systems and Signal Processing, 2022 - Elsevier
Crack detection using image processing has recently become a major research topic in
nondestructive inspection (NDT) and structural health monitoring (SHM). However, crack …

CurSeg: A pavement crack detector based on a deep hierarchical feature learning segmentation framework

G Yuan, J Li, X Meng, Y Li - IET Intelligent Transport Systems, 2022 - Wiley Online Library
Automatic crack detection is challenging due to the poor continuity of cracks, the different
widths of cracks, and the low contrast between cracks and the surrounding pavement. In this …

RAO‐UNet: a residual attention and octave UNet for road crack detection via balance loss

L Fan, H Zhao, Y Li, S Li, R Zhou… - IET Intelligent Transport …, 2022 - Wiley Online Library
The acquisition and evaluation of road cracks are essential to ensure the availability of
roads and necessary maintenance. However, the road cracks images have been obsessed …

[HTML][HTML] Predictive maintenance of Norwegian road network using deep learning models

MU Hassan, OMH Steinnes, EG Gustafsson, S Løken… - Sensors, 2023 - mdpi.com
Industry 4.0 has revolutionized the use of physical and digital systems while playing a vital
role in the digitalization of maintenance plans for physical assets in an optimal way. Road …

Automatic crack distress classification from concrete surface images using a novel deep-width network architecture

L Guo, R Li, B Jiang, X Shen - Neurocomputing, 2020 - Elsevier
The condition monitoring of concrete surface plays a significant role in civil infrastructure
management system. Crack is the main threat to concrete surface of buildings, bridges …

The combination of transformer and you only look once for automatic concrete pavement crack detection

X Zheng, S Qian, S Wei, S Zhou, Y Hou - Applied Sciences, 2023 - mdpi.com
The real-time detection of cracks is an important part of road maintenance and an important
initiative to reduce traffic accidents caused by road cracks. In response to the lack of …