Crack detection of the concrete bridge is an essential index for the safety assessment of
bridge structure. It is more important to check the whole structure than to check the accuracy …

Crack detection on concrete bridges is a critical task to ensure bridge safety. However, many
cracks on concrete bridges show low contrast and blurry edges in practice, which brings …

Within the framework of intelligent bridge detection, a number of crack detection methods
based on image processing techniques have been implemented. In this study, a combined …

We proposed a modified concrete bridge crack detector based on a deep learning‐assisted
image processing approach. Data augmentation technology is introduced to extend the …

The aim of this study is to enhance the efficiency and lower the expense of detecting cracks
in large-scale concrete structures. A rapid crack detection method based on deep learning is …

Cracks and exposed steel bars are the main factors that affect the service life of bridges. It is
necessary to detect the surface damage during regular bridge inspections. Due to the …

Crack detection is critical to guaranteeing safety of bridges, highway and other
infrastructures. The deep convolution neural network (DCNN) makes it possible to efficiently …

Cracking is one of the most common bridge diseases. If bridge cracks are not repaired: in
time, they may cause gradual changes to the concrete structure, which can seriously affect …

Concrete cracks that cause durability problems and bearing capacity failure are critical for
evaluating the in-service performance of concrete bridges. It is still challenging for deep …

To achieve effective inspection of reinforced concrete structures, a smart solution to obtain
quantitative crack information automatically from inspection is essential. Therefore, a novel …