Civil infrastructure (eg, buildings, roads, underground tunnels) could lose its expected
physical and functional conditions after years of operation. Timely and accurate inspection …

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 …

Abstract Convolutional Neural Networks (CNN) have immense potential to solve a broad
range of computer vision problems. It has achieved encouraging results in numerous …

Annually, millions of dollars are spent to carry out defect detection in key infrastructure
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …

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 …

Pavement crack detection is a critical task for insuring road safety. Manual crack detection is
extremely time-consuming. Therefore, an automatic road crack detection method is required …

Cracks are typical line structures that are of interest in many computer-vision applications. In
practice, many cracks, eg, pavement cracks, show poor continuity and low contrast, which …

As technology continues to develop, computer vision (CV) applications are becoming
increasingly widespread in the intelligent transportation systems (ITS) context. These …

Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …

Automated pavement distress detection and classification has remained one of the high-
priority research areas for transportation agencies. In this paper, we employed a Deep …