Data-driven methods in structural health monitoring (SHM) is gaining popularity due to
recent technological advancements in sensors, as well as high-speed internet and cloud …

Annually, millions of dollars are spent to carry out defect detection in key infrastructure
including roads, bridges, and buildings. The aftermath of natural disasters like floods and …

This paper compares the performance of common edge detectors and deep convolutional
neural networks (DCNN) for image-based crack detection in concrete structures. A dataset of …

In recent years, unmanned aerial vehicles (UAVs) have gained popularity due to their
flexibility, mobility, and accessibility in various fields, including search and rescue (SAR) …

An autonomous unmanned aerial vehicle (UAV) system integrated with a modified faster
region-based convolutional neural network (Faster R-CNN) is proposed to identify various …

Deterioration of bridge infrastructure is a serious concern to transport and government
agencies as it declines serviceability and reliability of bridges and jeopardizes public safety …

In the current modern era of information and technology, emerging remote advancements
have been widely established for detailed virtual inspections and assessments of …

Structural disaster damage detection and characterization is one of the oldest remote
sensing challenges, and the utility of virtually every type of active and passive sensor …

This paper presents findings of delamination detection using infrared thermography (IRT) in
five in-service bridges using an unmanned aerial vehicle system. The authors have used …

The growing population and increasing demand for surface transportation have highlighted
the importance of maintaining safe and reliable civil infrastructures for daily use. Among all …