Computer vision-based crack analysis for civil infrastructure has become popular to
automatically process inspection imaging data for crack detection, localisation and …

Structural health monitoring at local and global levels using computer vision technologies
has gained much attention in the structural health monitoring community in research and …

Crack detection is of significant importance for concrete structural inspection. Unmanned
aerial vehicle (UAV)-based crack detection systems abound, but simply quantifying cracks …

The integration of drones in the construction industry has ushered in a new era of efficiency,
accuracy, and safety throughout the various phases of construction projects. This paper …

Bridge inspection and monitoring are usually used to evaluate the status and integrity of
bridge structures to ensure their safety and reliability. Computer vision (CV)-based methods …

The application of the cutting-edge technologies of robotics and computer science to
structural health monitoring (SHM) of bridges have gained much attention. This review …

Over the last two decades, the integration of big data and deep learning technologies has
demonstrated remarkable effectiveness across various domains of civil engineering, leading …

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 …

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 …

The present work focuses on the use of Unmanned Aircraft System (UAS), commonly known
as drones, for the inspection and assessment of bridge infrastructures. Recent events, in …