Urban underground infrastructure is a critical component in cities to provide essential
services to residents. Research efforts have been made to facilitate different activities of …

As civil structures age and deteriorate, it becomes crucial to conduct structural health
monitoring (SHM) to ensure safety and timely maintenance. Surface defect detection plays a …

A tunnel is an imperative underground passageway that supports fast and uninterrupted
transportation. Over time, various factors, such as ageing, topographical changes, and …

Conventional deep-learning-based inspection methods for sewer pipeline defects neglect
the complex inner environment of pipelines (eg, fog and motion blur) and real-time …

While there have been a considerable number of studies on computer vision (CV)-based
crack detection on concrete/asphalt public facilities, such as sewers and tunnels, masonry …

Steel is a basic material, and vision-based defect recognition is important for quality.
Recently, deep learning, especially convolutional neural network (CNN), has become a …

Accurate classification of surface defects is one of the most important factors in achieving
quality inspection for strip steel. Most existing methods are based on fully-supervised …

An automatic vision-based sewer inspection plays a key role of sewage system in a modern
city. Recent advances focus on utilizing a deep learning model to realize the sewer …

In recent years, diverse detection methods have been proposed to achieve highly accurate
image segmentation. However, low contrast and background noise interference still pose …

Due to the advantages of economics, safety, and efficiency, vision-based analysis
techniques have recently gained conspicuous advancements, enabling them to be …