The preservation of structural integrity and durability is essential for the long-term viability of
civil infrastructure projects. Addressing concrete defects promptly is crucial to achieving this …

Introduction Cracks, as structural defects or fractures in materials like concrete, asphalt, and
metal, pose significant challenges to the stability and safety of various structures. Addressing …

In recent years, visual automatic non-destructive testing using machine vision algorithms
has been widely used in industry. This approach for detecting, classifying, and segmenting …

The lack of vehicle feature information and the limited number of pixels in high-definition
remote-sensing images causes difficulties in vehicle detection. This paper proposes U …

Road crack detection is crucial for maintaining and inspecting civil infrastructure, as cracks
can pose a potential risk for sustainable road safety. Traditional methods for pavement crack …

The crack detection of concrete bridges is an important link in the safety evaluation of bridge
structures, and the rapid and accurate identification and detection of bridge cracks is a …

Automatic pavement crack detection is essential for fast and efficient pavement maintenance
and health measurement. And crack image data is the basis of crack detection. The existing …

Early identification of concrete cracks and multi-class detection can help to avoid future
deformation or collapse in concrete structures. Available traditional detection and …

This research attempts to design a transfer learning-based fissure detection algorithm for
concrete surfaces. The few challenges faced by the transfer learning models are limited …

Earthquakes can often cause significant damage to buildings. After an earthquake,
experts/managers need to make quick and accurate damage assessments. Traditionally …