Point clouds are increasingly being used to improve productivity, quality, and safety
throughout the life cycle of construction and infrastructure projects. While applicable for …

Bridges are often located in harsh environments and are thus extremely susceptible to
damage. If the initial damage is not detected in time, it can develop further causing safety …

This paper presents the design, modeling and control of a fully actuated aerial robot for
infrastructure contact inspection as well as its localization system. Health assessment of …

A powerful deep learning‐based three‐dimensional (3D) reconstruction method for
reconstructing structure‐aware semantic 3D models of cable‐stayed bridges is proposed …

Recently, it has become a tendency to replace the work that people have been doing with
the autonomous system using robots such as unmanned aerial vehicles in the structure …

In this paper a workflow for bridges and viaducts aerial survey through Unmanned Aerial
Vehicle (UAV) is presented. Actual methodologies for bridge inspection and survey are …

Bridge collapses may deliver a huge impact on our society in a very negative way. Out of
many reasons why bridges collapse, poor maintenance is becoming a main contributing …

The performance of point cloud-based defect classification algorithms depends on the
quality of the computed geometric features, which in turn is strongly affected by the selection …

Imagery from Unmanned Aerial Vehicles can be used to generate three-dimensional (3D)
point cloud models. However, final data quality is impacted by the flight altitude, camera …

Geometric features, such as normal and curvature, have been prominently used for point
cloud-based unsupervised spall classification. In addition, some researchers use hand …