Engineers can today capture high-resolution video recordings of bridge movements during
routine visual inspections using modern smartphones and compile a historical archive over …

In this study, we investigate a novel idea of using synthetic images of bolts which are
generated from a graphical model to train a deep learning model for loosened bolt detection …

To further improve the precision and efficiency of structural health monitoring technology
and the theory of large-scale structures, full-field non-contact structural geometry …

The bending of steel truss structures is an important gauge for detecting, identifying, and
evaluating potential issues with structural safety performance. The limitations and high cost …

In the context of the global energy sector's increasing reliance on fossil fuels and escalating
environmental concerns, there is an urgent need for advancements in energy monitoring …

Featured Application This study aims at the lack of sufficient data supporting structural
damage identification, which is a general issue in traditional single-point measurement …

The paper presents damage detection techniques for structural health monitoring of bridges
incorporating computer vision derived measurements. The feasibility of the techniques is …

Adaptive digital fringe projection (AFP) technique is a traditional approach to measure the
high dynamic range (HDR) surface. However, the projected light intensities are difficult to …

Measuring the dynamic displacements of a structure provides a comprehensive
understanding of the structure, especially when subjected to different types of dynamic …

The main contribution of this paper is the modeling and control for a complex autonomous
system (CAS). It is equipped with a visual sensor to operate precision positioning in a …