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

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 …

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) …

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 …

Bad road conditions are one of the main causes of road accidents around the world. These
kinds of accidents prove to be fatal as many lives are lost in these accidents that are mainly …

Crack detection plays a crucial role in structural health monitoring tasks to ensure the
reliability of the transportation infrastructures. However, the automatic detection of cracks …

Automatically detecting cracks with uneven strength from a complex background is a
valuable and challenging issue. In light of the lost details and the incomplete extracted …

Though crack detection is an indispensable task to ensure the safety of various
infrastructures, it is often hard to fully and accurately detect cracks due to their complex …

Deep learning models such as convolutional neural networks (CNNs) encounter challenges,
including instability and overfitting, while predicting bolt looseness in data-scarce scenarios …

Road connectivity is most important for Developing Nations. A great challenge is to detect
road damage which manually causes huge costs by putting different resources, such as …