Computer vision framework for crack detection of civil infrastructure—A review
Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …
physical and functional conditions after years of operation. Timely and accurate inspection …
Image based techniques for crack detection, classification and quantification in asphalt pavement: a review
Pavement condition information is a significant component in Pavement Management
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Systems. The labeling and quantification of the type, severity, and extent of surface cracking …
Automated pixel‐level pavement crack detection on 3D asphalt surfaces using a deep‐learning network
The CrackNet, an efficient architecture based on the Convolutional Neural Network (CNN),
is proposed in this article for automated pavement crack detection on 3D asphalt surfaces …
is proposed in this article for automated pavement crack detection on 3D asphalt surfaces …
Pixel-level cracking detection on 3D asphalt pavement images through deep-learning-based CrackNet-V
A few recent developments have demonstrated that deep-learning-based solutions can
outperform traditional algorithms for automated pavement crack detection. In this paper, an …
outperform traditional algorithms for automated pavement crack detection. In this paper, an …
Deep machine learning approach to develop a new asphalt pavement condition index
Pavement condition assessment provides information to make more cost-effective and
consistent decisions regarding management of pavement network. Generally, pavement …
consistent decisions regarding management of pavement network. Generally, pavement …
Deep learning–based fully automated pavement crack detection on 3D asphalt surfaces with an improved CrackNet
CrackNet is the result of an 18-month collaboration within a 10-person team to develop a
deep learning–based pavement crack detection software that demonstrated successes in …
deep learning–based pavement crack detection software that demonstrated successes in …
Machine vision-based surface crack analysis for transportation infrastructure
W Hu, W Wang, C Ai, J Wang, W Wang, X Meng… - Automation in …, 2021 - Elsevier
Cracks undermine the structural health of transportation infrastructure. Machine vision-
based surface crack analysis is to process infrastructure inspection data collected by …
based surface crack analysis is to process infrastructure inspection data collected by …
Pavement image datasets: A new benchmark dataset to classify and densify pavement distresses
H Majidifard, P Jin, Y Adu-Gyamfi… - Transportation …, 2020 - journals.sagepub.com
Automated pavement distresses detection using road images remains a challenging topic in
the computer vision research community. Recent developments in deep learning have led to …
the computer vision research community. Recent developments in deep learning have led to …
Pavement crack detection using the Gabor filter
Crack is a common form of pavement distress and it carries significant information on the
condition of roads. The detection of cracks is essential to perform pavement maintenance …
condition of roads. The detection of cracks is essential to perform pavement maintenance …
A novel transformer-based network with attention mechanism for automatic pavement crack detection
F Guo, J Liu, C Lv, H Yu - Construction and Building Materials, 2023 - Elsevier
Currently, there is an urgent need to utilize automatic approaches to detecting pavement
cracks for roadway maintenance. Taking advantage of the development of convolutional …
cracks for roadway maintenance. Taking advantage of the development of convolutional …