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 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 …

Automated crack detection and crack depth prediction for reinforced concrete structures using deep learning

KC Laxman, N Tabassum, L Ai, C Cole… - Construction and Building …, 2023 - Elsevier
Automatic inspection for crack detection and estimation of the crack depth is critical in
assessing the damage and determining the appropriate method of repair in concrete …

Damage detection and monitoring in heritage masonry structures: Systematic review

A Soleymani, H Jahangir, ML Nehdi - Construction and Building Materials, 2023 - Elsevier
Masonry structures dominate cultural heritage sites worldwide. Public authorities ought to
preserve and safeguard such structures for future generations. However, precise evaluation …

[HTML][HTML] Image-based crack detection methods: A review

HS Munawar, AWA Hammad, A Haddad, CAP Soares… - Infrastructures, 2021 - mdpi.com
Annually, millions of dollars are spent to carry out defect detection in key infrastructure
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …

Advances in computer vision-based civil infrastructure inspection and monitoring

BF Spencer Jr, V Hoskere, Y Narazaki - Engineering, 2019 - Elsevier
Computer vision techniques, in conjunction with acquisition through remote cameras and
unmanned aerial vehicles (UAVs), offer promising non-contact solutions to civil infrastructure …

Automatic pixel‐level crack detection and measurement using fully convolutional network

X Yang, H Li, Y Yu, X Luo, T Huang… - Computer‐Aided Civil …, 2018 - Wiley Online Library
The spatial characteristics of cracks are significant indicators to assess and evaluate the
health of existing buildings and infrastructures. However, the current manual crack …

Autonomous structural visual inspection using region‐based deep learning for detecting multiple damage types

YJ Cha, W Choi, G Suh… - … ‐Aided Civil and …, 2018 - Wiley Online Library
Computer vision‐based techniques were developed to overcome the limitations of visual
inspection by trained human resources and to detect structural damage in images remotely …

Encoder–decoder network for pixel‐level road crack detection in black‐box images

S Bang, S Park, H Kim, H Kim - Computer‐Aided Civil and …, 2019 - Wiley Online Library
Timely monitoring of pavement cracks is essential for successful maintenance of road
infrastructure. Accurate information concerning crack location and severity enables proactive …

Generative adversarial network for road damage detection

H Maeda, T Kashiyama, Y Sekimoto… - … ‐Aided Civil and …, 2021 - Wiley Online Library
Abstract Machine learning can produce promising results when sufficient training data are
available; however, infrastructure inspections typically do not provide sufficient training data …