Most pavement crack detection methods based on deep learning rely too much on pixel-
wise labels, and are facing with sample imbalance problem. This paper proposes a three …

Cracks are a common defect in civil infrastructures, and their occurrence is often closely
related to structural loading conditions, material properties, design and construction, and …

The size and complexity of the multiobjective detection model restrict its applicability to real-
time road distress detection with unmanned aerial vehicles (UAVs). To address this issue …

Road damage detection (RDD) based on front-view images of roads is more in line with
practical application scenarios and is suitable for automatic road damage detection systems …

Automatic pavement distress classification facilitates improving the efficiency of pavement
maintenance and reducing the cost of labor and resources. A recently influential branch of …

Road cracks are a common road traffic safety problem. Methods such as manual
measurement of cracks do not facilitate large-scale inspections, which affects the normal …

Automated detection of road defects has historically been challenging for the pavement
management industry. As a result, new methods have been developed over the past few …

Pemeliharaan jalan yang efektif sangat penting untuk menjamin keselamatan dan efisiensi
transportasi, karena jalan yang rusak dapat menyebabkan kecelakaan lalu lintas, kerusakan …