Structural health monitoring (SHM) is increasingly being used in the field of bridge
engineering, and the technology for monitoring bridges has undergone a radical change. It …

In the age of the smart city, things like the Internet of Things (IoT) and big data analytics are
making big changes to the way traditional structural health monitoring (SHM) is done. Also …

The challenges of urban administration are growing, as the population, automobiles, and
cities rise. Making cities smarter is thus one of the most effective solutions to urban issues. A …

This study presents an experimental validation for a high-precision vision-based
Displacement Influence Line (DIL) measurement system for a purpose of damage detection …

Structural damage is inherent in civil engineering structures, and bridges are no exception. It
is vital to monitor and keep track of damage in bridge structures as a result of multiple …

Bridge construction is one of the cores of traffic infrastructure construction. To better develop
relevant bridge science, this paper introduces the main research progress in China and …

The concept of computer vision is as old as six decades. A spurt of remarkable magnitude
on real-world applications of computer vision techniques in the realm of civil engineering is …

This paper considers an approach to solve the structure monitoring problem using an
integrated GNSS system and non-metric cameras with QR-coded targets. The system is …

This work presents the ML model in which data collected from the open access repository
where experiments conducted on steel structure bridge data for 1-year duration are …

Traffic load monitoring based on deep learning and computer vision has garnered
significant attention in bridge engineering worldwide. Unlike traditional traffic load …