The comprehensive intelligent development of the manufacturing industry puts forward new
requirements for the quality inspection of industrial products. This paper summarizes the …

This paper compares the performance of common edge detectors and deep convolutional
neural networks (DCNN) for image-based crack detection in concrete structures. A dataset of …

SDNET2018 is an annotated image dataset for training, validation, and benchmarking of
artificial intelligence based crack detection algorithms for concrete. SDNET2018 contains …

Recent years have witnessed an increase in the use of composite coatings for numerous
applications, including aerospace, aircraft, and maritime vessels. These materials owe this …

Infrastructure, such as buildings, bridges, pavement, etc., needs to be examined periodically
to maintain its reliability and structural health. Visual signs of cracks and depressions …

Unmanned aerial systems (UASs) have become of considerable private and commercial
interest for a variety of jobs and entertainment in the past 10 years. This paper is a literature …

Impact echo (IE) is a common nondestructive evaluation (NDE) method to detect subsurface
defects in concrete bridge decks. The conventional approach for analyzing the IE data …

Many state agencies are investigating the use of unmanned aerial systems (UASs) for
bridge inspections. Some agencies are receiving pressure from consultants and their own …

Crack detection is a crucial task in the periodic survey of high‐rise buildings and
infrastructure. Manual survey is notorious for low productivity. This study is aimed at …

Pavement rutting refers to surface depression in the wheel-path along an asphalt road which
causes loss of steering control and consequently leads to serious traffic accidents. Hence, it …