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 …
A review of machine learning and IoT in smart transportation
With the rise of the Internet of Things (IoT), applications have become smarter and
connected devices give rise to their exploitation in all aspects of a modern city. As the …
connected devices give rise to their exploitation in all aspects of a modern city. As the …
DenseSPH-YOLOv5: An automated damage detection model based on DenseNet and Swin-Transformer prediction head-enabled YOLOv5 with attention mechanism
Objective. Computer vision-based up-to-date accurate damage classification and
localization are of decisive importance for infrastructure monitoring, safety, and the …
localization are of decisive importance for infrastructure monitoring, safety, and the …
Image-based concrete crack detection in tunnels using deep fully convolutional networks
Y Ren, J Huang, Z Hong, W Lu, J Yin, L Zou… - … and Building Materials, 2020 - Elsevier
Automatic detection and segmentation of concrete cracks in tunnels remains a high-priority
task for civil engineers. Image-based crack segmentation is an effective method for crack …
task for civil engineers. Image-based crack segmentation is an effective method for crack …
Pavement anomaly detection based on transformer and self-supervised learning
Z Lin, H Wang, S Li - Automation in Construction, 2022 - Elsevier
Pavement anomaly detection can help reduce the pressure of data storage, transmission,
labelling and processing. This paper describes a novel method based on transformer and …
labelling and processing. This paper describes a novel method based on transformer and …
Surface crack detection using deep learning with shallow CNN architecture for enhanced computation
Surface cracks on the concrete structures are a key indicator of structural safety and
degradation. To ensure the structural health and reliability of the buildings, frequent structure …
degradation. To ensure the structural health and reliability of the buildings, frequent structure …
Review of pavement defect detection methods
Road pavement cracks detection has been a hot research topic for quite a long time due to
the practical importance of crack detection for road maintenance and traffic safety. Many …
the practical importance of crack detection for road maintenance and traffic safety. Many …
Deep learning-based crack segmentation for civil infrastructure: Data types, architectures, and benchmarked performance
This paper reviews recent developments in deep learning-based crack segmentation
methods and investigates their performance under the impact from different image types …
methods and investigates their performance under the impact from different image types …
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 …
A comprehensive review of deep learning-based crack detection approaches
The application of deep architectures inspired by the fields of artificial intelligence and
computer vision has made a significant impact on the task of crack detection. As the number …
computer vision has made a significant impact on the task of crack detection. As the number …