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 …

Engineering structures and infrastructure continue to be used despite approaching or having
reached their design lifetime. While contact-based measurement techniques are challenging …

This paper describes a real-time, high-performance deep-learning network to segment
internal damages of concrete members at the pixel level using active thermography. Unlike …

Previous research has shown the high accuracy of convolutional neural networks (CNNs) in
asphalt and concrete crack detection in controlled conditions. Yet, human-like generalisation …

Pavement needs to be maintained from the moment its service life begins. The maintenance
strategy is mainly based on pavement quality indexes, such as the road damage rate (DR) …

This paper proposes a framework for obstacle-avoiding autonomous unmanned aerial
vehicle (UAV) systems with a new obstacle avoidance method (OAM) and localization …

Abstract In recent years, Unmanned Aerial Vehicles (UAVs) have been increasingly used for
bridge inspection. Although UAVs are expected to automate the whole bridge inspection …

This paper presents a novel autonomous inspection framework for low-cost nano aerial
vehicles (NAVs) in indoor assessment scenarios. First, a novel autonomous navigation and …

Artificial intelligence (AI) and robotics research and implementation emerged in the
architecture, engineering, and construction (AEC) industry to positively impact project …

This article provides a comprehensive review of deep learning-based structural health
monitoring (DL-based SHM). It encompasses a broad spectrum of DL theories and …