Vibration measurement plays an important role in the inspection and monitoring of civil
structures. In recent years, the computer vision (CV)-based method has gained significant …

Bridge inspection and monitoring are usually used to evaluate the status and integrity of
bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods …

Environmental conditions such as wind and ground traffic introduce motion in camera
measurement systems and affect measurement accuracy. Conventional camera motion …

For bridge structures, multi-target displacement data are crucial for comprehensive and
efficient structural safety assessments. Traditional multi-target monitoring systems typically …

In this study, we propose a novel structural condition assessment method based on adaptive
vision feature extractions and reinforced learning-assisted evolution. First, the 'features from …

Due to the unique environment for the underwater imaging, the acquired images are often
blurred, color-distorted, and low-contrast, resulting in low-quality images. Enhancing these …

The safety and reliability of cables are directly linked to the safe operation of bridges as
crucial load-bearing components. The accuracy and efficiency of current methods are still …

Edge detection is a crucial step in many computer vision tasks, and in recent years, models
based on deep convolutional neural networks (CNNs) have achieved human-level …

Rivets are critical mechanical fasteners in steel bridges, and rivet defects may cause
catastrophic failure. This study proposes a convolutional neural network (CNN)‐based …

Cables are the primary elements of cable-supported structure bridges, and cable force is an
important index to evaluate the safety and integrity of bridges. The approach of cable tension …