Abstract The Internet of Things (IoT) might yield many benefits for organizations, but like
other technology adoptions may also introduce unforeseen risks and requiring substantial …

In order to minimize the costs, risks, and disruptions associated with structural inspections,
robotic systems have increasingly been studied as an enhancement to current inspection …

Masonry structures represent the highest proportion of building stock worldwide. Currently,
the structural condition of such structures is predominantly manually inspected which is a …

This paper aims to improve automation in brick segmentation and crack detection of
masonry walls through image-based techniques and machine learning. Initially, a large …

This study presents a systematic and practical approach for dimensional and surface quality
assessment of precast concrete elements using building information modeling (BIM) and 3D …

Abstract Convolutional Neural Networks (CNNs) are currently often used for crack detection.
However, the crack datasets collected in real engineering are imbalanced datasets and are …

Infrastructure defect detection solutions based on computer vision have recently emerged as
powerful tools with applications in both traditional inspection practices, as well as robotic …

Structural health monitoring (SHM) combined with digital image technology has been widely
applied to infrastructure operation management. However, the linear illumination of the …

Bridge infrastructure asset management system is a prevailing approach toward having an
effective and efficient procedure for monitoring bridges through their different development …

Life cycle bridge maintenance is highly complex and multi-disciplinary oriented. Advanced
technologies have been widely adopted, but the generated data and information are often …