To ensure the safety and the serviceability of civil infrastructure it is essential to visually
inspect and assess its physical and functional condition. This review paper presents the …

Pavement asset management system (PAMS) assists agencies and decision makers to
maintain deteriorating pavement assets with optimized budget allocation. The recent …

Falling behind schedule and having discrepancy between the as-built and designed
baseline plans are unfavourable events that often occur in construction projects. Hence, real …

Simultaneous pixel‐level detection of multiple distresses and surface design features on
complex asphalt pavements is a critical challenge in intelligent pavement survey. This paper …

Crack detection has been an active research topic for civil infrastructure inspection. Over the
last few years, many research efforts have focused on applying deep learning-based …

Detecting road damage quickly and accurately facilitates the ability of road-maintenance
agencies to make timely repairs to road surfaces, maintain optimal road conditions, optimize …

This study constructs an automatic model for detecting and classifying asphalt pavement
crack. Image processing techniques including steerable filters, projective integral of image …

In recent years, extensive research has been conducted on pavement distress detection. A
large part of these studies applied automated methods to capture different distresses. In this …

Potholes are one of the most common forms of road damage, which can severely affect
driving comfort, road safety, and vehicle condition. Pothole detection is typically performed …

This study establishes an artificial intelligence (AI) model for detecting pothole on asphalt
pavement surface. Image processing methods including Gaussian filter, steerable filter, and …