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[HTML][HTML] Application of digital image correlation in structural health monitoring of bridge infrastructures: A review
A vision-based approach has been employed in Structural Health Monitoring (SHM) of
bridge infrastructure. The approach has many advantages: non-contact, non-destructive …
bridge infrastructure. The approach has many advantages: non-contact, non-destructive …
Automatic pixel‐level crack detection with multi‐scale feature fusion for slab tracks
Cracks are common defects in slab tracks, which can grow and expand over time, leading to
a deterioration of the mechanical properties of slab tracks and shortening service life …
a deterioration of the mechanical properties of slab tracks and shortening service life …
A deeply supervised convolutional neural network for pavement crack detection with multiscale feature fusion
Z Qu, C Cao, L Liu, DY Zhou - IEEE transactions on neural …, 2021 - ieeexplore.ieee.org
Automatic crack detection is vital for efficient and economical road maintenance. With the
explosive development of convolutional neural networks (CNNs), recent crack detection …
explosive development of convolutional neural networks (CNNs), recent crack detection …
Concrete crack detection using context‐aware deep semantic segmentation network
Computer‐vision and deep‐learning techniques are being increasingly applied to inspect,
monitor, and assess infrastructure conditions including detection of cracks. Traditional vision …
monitor, and assess infrastructure conditions including detection of cracks. Traditional vision …
CrackSeg9k: A collection and benchmark for crack segmentation datasets and frameworks
The detection of cracks is a crucial task in monitoring structural health and ensuring
structural safety. The manual process of crack detection is time-consuming and subjective to …
structural safety. The manual process of crack detection is time-consuming and subjective to …
[HTML][HTML] Automatic crack detection on road pavements using encoder-decoder architecture
Automatic crack detection from images is an important task that is adopted to ensure road
safety and durability for Portland cement concrete (PCC) and asphalt concrete (AC) …
safety and durability for Portland cement concrete (PCC) and asphalt concrete (AC) …
Automated crack severity level detection and classification for ballastless track slab using deep convolutional neural network
W Wang, W Hu, W Wang, X Xu, M Wang, Y Shi… - Automation in …, 2021 - Elsevier
The classification and treatment of cracks with different severity levels based on the width
measurement is a critical consideration in maintenance of ballastless track slab. Existing …
measurement is a critical consideration in maintenance of ballastless track slab. Existing …
Deep learning-based fast detection of apparent concrete crack in slab tracks with dilated convolution
Slab tracks exposed to complicated environmental factors over a long period can cause
cracks in the concrete, and if these cracks gradually expand, the concrete's durability and …
cracks in the concrete, and if these cracks gradually expand, the concrete's durability and …
[HTML][HTML] An improved encoder-decoder network based on strip pool method applied to segmentation of farmland vacancy field
In the research of green vegetation coverage in the field of remote sensing image
segmentation, crop planting area is often obtained by semantic segmentation of images …
segmentation, crop planting area is often obtained by semantic segmentation of images …
BARNet: Boundary aware refinement network for crack detection
Road crack is one of the prominent problems that can frequently occur in highways and
main roads. The manual road crack evaluation is laborious, time-consuming, inaccurate …
main roads. The manual road crack evaluation is laborious, time-consuming, inaccurate …