A critical review and comparative study on image segmentation-based techniques for pavement crack detection

N Kheradmandi, V Mehranfar - Construction and Building Materials, 2022 - Elsevier
The prompt detection of early decay in the pavement could be an auspicious technique in
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …

Computer vision framework for crack detection of civil infrastructure—A review

D Ai, G Jiang, SK Lam, P He, C Li - Engineering Applications of Artificial …, 2023 - Elsevier
Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …

A review of computer vision–based structural health monitoring at local and global levels

CZ Dong, FN Catbas - Structural Health Monitoring, 2021 - journals.sagepub.com
Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …

Efficient attention-based deep encoder and decoder for automatic crack segmentation

DH Kang, YJ Cha - Structural Health Monitoring, 2022 - journals.sagepub.com
Recently, crack segmentation studies have been investigated using deep convolutional
neural networks. However, significant deficiencies remain in the preparation of ground truth …

[HTML][HTML] Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning

D Dais, IE Bal, E Smyrou, V Sarhosis - Automation in Construction, 2021 - Elsevier
Masonry structures represent the highest proportion of building stock worldwide. Currently,
the structural condition of such structures is predominantly manually inspected which is a …

Automatic detection method of tunnel lining multi‐defects via an enhanced You Only Look Once network

Z Zhou, J Zhang, C Gong - Computer‐Aided Civil and …, 2022 - Wiley Online Library
Aiming to solve the challenges of low detection accuracy, poor anti‐interference ability, and
slow detection speed in the traditional tunnel lining defect detection methods, a novel deep …

Pavement crack detection based on transformer network

F Guo, Y Qian, J Liu, H Yu - Automation in Construction, 2023 - Elsevier
Accurate pavement surface crack detection is essential for pavement assessment and
maintenance. This study aims to improve pavement crack detection under noisy conditions …

[PDF][PDF] 基于机器视觉的表面缺陷检测方法研究进展

赵朗月, 吴一全 - 仪器仪表学报, 2023 - emt.cnjournals.com
在半导体, PCB, 汽车装配, 液晶屏, 3C, 光伏电池, 纺织等行业中, 产品外观与产品性能有着千丝
万缕的联系. 表面缺陷检测是阻止残次品流入市场的重要手段. 利用机器视觉的技术进行检测 …

Pavement distress detection using convolutional neural networks with images captured via UAV

J Zhu, J Zhong, T Ma, X Huang, W Zhang… - Automation in …, 2022 - Elsevier
Pavement distress detection is crucial in the decision-making for maintenance planning.
Unmanned aerial vehicles (UAVs) are helpful in collecting pavement images. This paper …

Automated pavement crack detection and segmentation based on two‐step convolutional neural network

J Liu, X Yang, S Lau, X Wang, S Luo… - … ‐Aided Civil and …, 2020 - Wiley Online Library
Cracking is a common pavement distress that would cause further severe problems if not
repaired timely, which means that it is important to accurately extract the information of …