Pavement defect detection is of profound significance regarding road safety, so it has been a
trending research topic. In the past years, deep learning based methods have turned into a …

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 …

Bridge maintenance will become a widespread trend in the engineering industry as the
number of bridges grows and time passes. Cracking is a common problem in bridges with …

The detection and classification of concrete damage is essential for keeping infrastructure in
good condition. Many deep learning-based methods have been applied, but these methods …

Several deep learning techniques have been used to detect pavement cracks for the partial
replacement of inefficient traditional inspections. However, the extensively varying real …

Pavements function as protective layers for roads and require frequent inspection and
maintenance throughout their service life. This paper describes an intelligent pavement …

Numerous researchers have explored the potential of artificial intelligence to improve the rail
inspection process, which required high quality in terms of resolution and clarity images …

Routine visual inspections of concrete structures are imperative for upholding the safety and
integrity of critical infrastructure. Such visual inspections sometimes happen under low-light …

The utilization of low-cost video data is becoming more prevalent in pavement surveys to
meet the increasing demand for timely distress detection and repair. Semantic segmentation …

Rapid processing of abandoned objects is one of the most important tasks in road
maintenance. Abandoned object detection heavily relies on traditional object detection …