Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …

Surface defect detection with machine learning has become an important tool in industries
and a large field of study for researchers or workers in recent years. It is necessary to have a …

Persistent cracking and progressive damage can weaken the operational performance of
structures such as bridges, dams, and concrete buildings. Consequently, research into …

To ensure the safe operation of highway traffic lines, given the imperfect feature extraction of
existing road pit defect detection models and the practicability of detection equipment, this …

Concrete damage images are essential for training deep learning-based damage detection
networks. Considering the manual collection of concrete damage images is time-consuming …

This paper presents a deep learning-based approach for multiclass surface damage
detection and segmentation in various bridge components. The proposed BridgeNet …

Concrete structures play a critical role in infrastructure development, and their safety is of
utmost importance. Cracks in concrete structures can be a sign of deterioration, which may …

Rapid and accurate extraction of cracks present on the surface of concrete embankments is
an important basis for assessing the structural health of embankments and maintaining …

Quality assessment in industrial applications is often carried out through visual inspection,
usually performed or supported by human domain experts. However, the manual visual …

Utilizing Unmanned Aerial Vehicles (UAV) and instance segmentation for construction site
monitoring (such as construction machinery and operation surfaces) offers a significant leap …