This paper proposes a new deep‐learning framework for drive‐by bridge condition
monitoring. The proposed approach represents a bridge monitoring regime that enables the …

With the growing number of well-aged bridges and the urgency in developing
reliable,(pseudo-) real-time monitoring of structural safety and integrity, there is a worldwide …

Vehicle-assisted monitoring is a promising alternative for rapid and low-cost bridge health
monitoring compared to direct instrumentation of bridges. In recent years, centralized …

Structural health condition monitoring of bridge structures has been a concern in the last
decades due to their aging and deterioration, in which the core task is damage detection …

Vehicle assisted monitoring has shown promising potential for the condition assessment of
existing bridges in a road network, by removing practical complications faced in traditional …

Bridges are a crucial part of the transport infrastructure network, and their safety and
operational conditions need to be ensured. An early warning of damage is valuable for …

Structural health monitoring (SHM) approaches have offered potential solutions for
monitoring and analyzing the behavior of transport infrastructures. Recently, vibration-based …

Over the last several decades, a lot of bridges have been equipped with the bridge structural
health monitoring system, leading to an accumulation of voluminous monitoring data. Since …

This study presents a new vision-based deep learning method to monitor and evaluate the
structural health of in-service infrastructure. For this purpose, three different camera …

With the ever-increasing number of well-aged bridges carrying traffic loads beyond their
intended design capacity, there is an urgency to find reliable and efficient means of …