The prompt detection of early decay in the pavement could be an auspicious technique in
road maintenance. Admittedly, early crack detection allows preventive measures to be taken …

Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …

This paper proposes a customized convolutional neural network for crack detection in
concrete structures. The proposed method is compared to four existing deep learning …

Cracks are important indicators of pavement structural and operational conditions. Early
pavement crack detection and treatments can help extend pavement service life, reduce fuel …

Pavement management systems play a significant role in country's economy since road
authorities are concerned about preserving their priceless road assets for a longer time to …

Automatic pavement crack segmentation plays a critical role in the field of defect inspection.
Although recent segmentation-based CNNs studies showed a promising pavement crack …

Routine visual inspection of concrete structures is essential to maintain safe conditions.
Therefore, studies of concrete crack segmentation using deep learning methods have been …

Cracks are the most common damage type on the pavement surface. Usually, pavement
cracks, especially small cracks, are difficult to be accurately identified due to background …

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 …

Crack images collected from civil infrastructures through unmanned aerial vehicles suffer
from motion blur and insufficient resolution, which reduces the accuracy of microcrack …