Deep learning breakthrough stimulates new research trends in civil infrastructure inspection,
whereas the lack of quality-guaranteed, human-annotated, free-of-charge, and publicly …

Damage detection is a key procedure in maintenance throughout structures' life cycles and
post-disaster loss assessment. Due to the complex types of structural damages and the low …

Early and timely detection of surface damages is important for maintaining the functionality,
reliability, and safety of concrete bridges. Recent advancement in convolution neural …

At present, a number of computer vision-based crack detection techniques have been
developed to efficiently inspect and manage a large number of structures. However, these …

Nowadays, unmanned aerial vehicles (UAVs) are frequently used for periodic visual
inspection of building envelopes to detect unsafe conditions or vulnerable damages …

Automated defect inspection is critical for effective and efficient maintenance, repair, and
operations in advanced manufacturing. On the other hand, automated defect inspection is …

Immediate assessment of structural integrity of important civil infrastructures, like bridges,
hospitals, or dams, is of utmost importance after natural disasters. Currently, inspection is …

Recognition of defects in concrete infrastructure, especially in bridges, is a costly and time
consuming crucial first step in the assessment of the structural integrity. Large variation in …

Automatic bridge surface defect detection is of wide concern; it can save human resources
and improve work efficiency. The object detection algorithm, especially the You Only Look …

This paper compares the crack detection performance (in terms of precision and
computational cost) of the YOLO_v2 using 11 feature extractors, which provides a base for …