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 …

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 …

Structural health monitoring (SHM) techniques have been widely used in long-span bridges.
However, due to limitations of computational ability and data analysis methods, the …

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 …

Abstract The field of Civil Engineering has lately gained increasing interest in Unmanned
Aerial Vehicles (UAV), commonly referred to as drones. Due to an increase of deteriorating …

Unmanned aerial vehicles (UAV), or drones, have become popular tools for practitioners
and researchers alike. Recent years have seen a significant increase in UAV uses for many …

This work aims at developing a machine learning-based model to detect cracks on concrete
surfaces. Such model is intended to increase the level of automation on concrete …

This paper presents a complete review of computer vision algorithms and vision-based
intelligent applications, that are developed in the field of the Unmanned Aerial Vehicles …

This article presents and validates active interaction force control and planning for fully
actuated and omnidirectional aerial manipulation platforms, with the goal of aerial contact …

This paper presents a coherent framework for automated unmanned aircraft system based
inspections of large bridges to facilitate an automated condition assessment. Modern …