[HTML][HTML] A Comprehensive Survey on Visual Perception Methods for Intelligent Inspection of High Dam Hubs

Z Peng, L Li, D Liu, S Zhou, Z Liu - Sensors, 2024 - mdpi.com
There are many high dam hubs in the world, and the regular inspection of high dams is a
critical task for ensuring their safe operation. Traditional manual inspection methods pose …

ViTR-Net: An unsupervised lightweight transformer network for cable surface defect detection and adaptive classification

Q Liu, D He, Z Jin, J Miao, S Shan, Y Chen… - Engineering Structures, 2024 - Elsevier
As a crucial load-bearing component of the cable-stayed bridge, the cable requires surface
defect detection to maintain its safety. The current deep-learning-based stay-cable surface …

Image segmentation using Vision Transformer for tunnel defect assessment

S Qin, T Qi, T Deng, X Huang - Computer‐Aided Civil and …, 2024 - Wiley Online Library
Existing tunnel detection methods include crack and water‐leakage segmentation networks.
However, if the automated detection algorithm cannot process all defect cases, manual …

Multi-visual modality micro drone-based structural damage detection

IO Agyemang, L Zeng, J Chen, I Adjei-Mensah… - … Applications of Artificial …, 2024 - Elsevier
Accurate detection and resilience of object detectors in structural damage detection are
important in ensuring the continuous use of civil infrastructure. However, achieving …

Automated dimensional quality inspection of super-large steel mesh using fixed-spacing detection transformer and improved oriented fast and rotated brief

X Guo, Y Huang, S Zhang, G Ma - Engineering Applications of Artificial …, 2025 - Elsevier
With the advance of automation in constructing simply supported box girders for high-speed
railways, traditional manual binding of steel mesh has been transmitted into automated …

The Using of Artificial Neural Networks for Reinforced Concrete Structures Condition Monitoring

NA Andriyanov, PV Burankina… - 2024 International …, 2024 - ieeexplore.ieee.org
The paper considers the problem of defect detection on concrete products using
convolutional neural networks. The analyzed dataset is considered and the structure of the …