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 learning-based intelligent detection of pavement distress
The intelligent detection of pavement distress using deep learning methods has consistently
been a hotspot in pavement maintenance. This paper aims to offer new insights to promote …
been a hotspot in pavement maintenance. This paper aims to offer new insights to promote …
Permanent Deformation Monitoring and Remaining Life Prediction of Asphalt Pavement Combining Full‐Scale Accelerated Pavement Testing and FEM
Permanent deformation (rutting) is one of the typical failure modes of asphalt pavement with
a semirigid base in high‐temperature areas. To address issues of pavement structure …
a semirigid base in high‐temperature areas. To address issues of pavement structure …
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 …
Automatic segmentation of tunnel lining defects based on multiscale attention and context information enhancement
Z Zhou, L Yan, J Zhang, Y Zheng, C Gong… - … and Building Materials, 2023 - Elsevier
To address the dual challenges of complex environmental interference and multiscale
targets in deep learning-based tunnel lining defect identification, a novel segmentation …
targets in deep learning-based tunnel lining defect identification, a novel segmentation …
Real-time high-resolution neural network with semantic guidance for crack segmentation
Y Li, R Ma, H Liu, G Cheng - Automation in Construction, 2023 - Elsevier
Deep learning plays an important role in crack segmentation, but most work utilize off-the-
shelf or improved models that have not been specifically developed for this task. High …
shelf or improved models that have not been specifically developed for this task. High …
Bayesian-optimized deep learning model to segment deterioration patterns underneath bridge decks photographed by unmanned aerial vehicle
In recent years, bridge collapses and fractures have occurred in various countries mostly
following a lack of inspection and maintenance. External inspection processes can be very …
following a lack of inspection and maintenance. External inspection processes can be very …
Wheat lodging segmentation based on Lstm_PSPNet deep learning network
Lodging is one of the major issues that seriously affects wheat quality and yield. To obtain
timely and accurate wheat lodging information and identify the potential factors leading to …
timely and accurate wheat lodging information and identify the potential factors leading to …
Deployment strategies for lightweight pavement defect detection using deep learning and inverse perspective mapping
The high cost of pavement detection equipment has constrained its application. Existing
pieces of lightweight detection equipment still face the problem of integrated installation …
pieces of lightweight detection equipment still face the problem of integrated installation …
[HTML][HTML] Evaluation and optimisation of pre-trained CNN models for asphalt pavement crack detection and classification
This study explored the performance of ten pre-trained CNN architectures in detecting and
classifying asphalt pavement cracks from images. A comparison of eight optimisation …
classifying asphalt pavement cracks from images. A comparison of eight optimisation …