[HTML][HTML] A review of deep learning methods for pixel-level crack detection

H Li, W Wang, M Wang, L Li, V Vimlund - Journal of Traffic and …, 2022 - Elsevier
Cracks are a major sign of aging transportation infrastructure. The detection and repair of
cracks is the key to ensuring the overall safety of the transportation infrastructure. In recent …

Computer vision applications in intelligent transportation systems: a survey

E Dilek, M Dener - Sensors, 2023 - mdpi.com
As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

Msft-yolo: Improved yolov5 based on transformer for detecting defects of steel surface

Z Guo, C Wang, G Yang, Z Huang, G Li - Sensors, 2022 - mdpi.com
With the development of artificial intelligence technology and the popularity of intelligent
production projects, intelligent inspection systems have gradually become a hot topic in the …

Crack detection in concrete structures using deep learning

VP Golding, Z Gharineiat, HS Munawar, F Ullah - Sustainability, 2022 - mdpi.com
Infrastructure, such as buildings, bridges, pavement, etc., needs to be examined periodically
to maintain its reliability and structural health. Visual signs of cracks and depressions …

Unsupervised domain adaptation for crack detection

X Weng, Y Huang, Y Li, H Yang, S Yu - Automation in Construction, 2023 - Elsevier
The reliable and fast detection of cracks is crucial for assessing the condition and
maintaining civil infrastructure. However, due to diverse construction materials, imaging …

Civil infrastructure damage and corrosion detection: An application of machine learning

HS Munawar, F Ullah, D Shahzad, A Heravi, S Qayyum… - Buildings, 2022 - mdpi.com
Automatic detection of corrosion and associated damages to civil infrastructures such as
bridges, buildings, and roads, from aerial images captured by an Unmanned Aerial Vehicle …

Automatic target detection from satellite imagery using machine learning

A Tahir, HS Munawar, J Akram, M Adil, S Ali… - Sensors, 2022 - mdpi.com
Object detection is a vital step in satellite imagery-based computer vision applications such
as precision agriculture, urban planning and defense applications. In satellite imagery …

Bibliometric analysis and review of deep learning-based crack detection literature published between 2010 and 2022

L Ali, F Alnajjar, W Khan, MA Serhani, H Al Jassmi - Buildings, 2022 - mdpi.com
The use of deep learning (DL) in civil inspection, especially in crack detection, has
increased over the past years to ensure long-term structural safety and integrity. To achieve …

Assessment of convolutional neural network pre-trained models for detection and orientation of cracks

W Qayyum, R Ehtisham, A Bahrami, C Camp, J Mir… - Materials, 2023 - mdpi.com
Failure due to cracks is a major structural safety issue for engineering constructions. Human
examination is the most common method for detecting crack failure, although it is subjective …

Using adaptive sensors for optimised target coverage in wireless sensor networks

J Akram, HS Munawar, AZ Kouzani, MAP Mahmud - Sensors, 2022 - mdpi.com
Innovation in wireless communications and microtechnology has progressed day by day,
and this has resulted in the creation of wireless sensor networks. This technology is utilised …