The shuffled frog leaping algorithm is a new optimization algorithm proposed to solve the
combinatorial optimization problem, which effectively combines the memetic algorithm …

Pavement anomaly detection can help reduce the pressure of data storage, transmission,
labelling and processing. This paper describes a novel method based on transformer and …

Photographs of bridges can reveal considerable technical information such as the part of the
structure that is damaged and the type of damage. Maintenance and inspection engineers …

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

The chimp optimization algorithm (ChOA) is a hunting-based model and can be utilized as a
set of optimization rules to tackle optimization problems. Although ChOA has shown …

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 …

Zero‐shot learning, applied with vision‐language pretrained (VLP) models, is expected to
be an alternative to existing deep learning models for defect detection, under insufficient …

Asphalt pavement construction requires accurate, rapid, and continuous quality evaluation.
As a primary defect appearing in construction, segregation significantly reduces the …

Road pavement damage affects driving comfort markedly, threatens driving safety, and may
even cause traffic accidents. The traffic management department conventionally captures …

Distress segmentation assigns each pixel of a pavement image to one distress class or
background, which provides a simplified representation for distress detection and …