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

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 …

Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …

Pavement distress detection is of great significance for road maintenance and to ensure
road safety. At present, detection methods based on deep learning have achieved …

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

This paper proposes a novel pavement transverse crack detection model based on time–
frequency analysis and convolutional neural networks. The accelerometer and smartphone …

The use of deep learning (DL) in civil inspection, especially in crack detection, has
increased over the past years to ensure long-term structural safety and integrity. To achieve …

Crack identification is essential for the preventive maintenance of asphalt pavement.
Through periodic inspection, the characteristics of existing and emerging cracks can be …

Amidst the unprecedented demographic boom, coupled with climate change, more pressure
is being exerted on road networks. Asset managers are thus in search for time and cost …

Pavement disease detection is an important task for ensuring road safety. Manual visual
detection requires a significant amount of time and effort. Therefore, an automated road …