Pavement, as a kind of common public transit infrastructure, plays an important part in the
daily passing and transportation-associated activities. The good conditions and smooth …

Pavement distress detection (PDD) plays a vital role in planning timely pavement
maintenance that improves pavement service life. In order to promote the development of …

Cracks are the most common damage type on the pavement surface. Usually, pavement
cracks, especially small cracks, are difficult to be accurately identified due to background …

Automatic crack detection is vital for efficient and economical road maintenance. With the
explosive development of convolutional neural networks (CNNs), recent crack detection …

The performance of crack segmentation is influenced by complex scenes, including
irregularly shaped cracks, complex image backgrounds, and limitations in acquiring global …

Timely pavement crack detection can prevent further pavement deterioration. However,
obtaining sufficient quantities of crack information at low cost remains a challenge. This …

Automatic damage detection using deep learning warrants an extensive data source that
captures complex pavement conditions. This paper proposes a thermal-RGB fusion image …

In recent years, maintenance work on public transport routes has drastically decreased in
many countries due to difficult economic situations. The various studies that have been …

Highway crack segmentation is a critical task for highway infrastructure monitoring and
maintenance. While imagery from unmanned aerial vehicles (UAVs) is applied to the task of …

The integration of visible and thermal images has demonstrated the potential ability to
enhance crack segmentation accuracy. However, due to the intricate texture of masonry …