Abstract The use of Unmanned Aerial Vehicles (UAVs) has become increasingly popular in
recent years, leading to a surge in research on this topic that is widely represented in the …

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

Geotechnical data are increasingly utilized to aid investigations of coastal erosion and the
development of coastal morphological models; however, measurement techniques are still …

Abstract Generative Adversarial Networks (GANs) are commonly used as a system able to
perform unsupervised learning. We propose and demonstrate the use of a GAN architecture …

The last two decades have seen an incessant growth in the use of Unmanned Aerial
Vehicles (UAVs) equipped with HD cameras for developing aerial vision-based systems to …

A multistatic unmanned aerial vehicle-borne synthetic aperture radar (MuUAV-SAR) plays
an important role in the applications of environmental monitoring and disaster warning …

Unmanned aerial vehicles (UAV) enable detailed historical preservation of large-scale
infrastructure and contribute to cultural heritage preservation, improved maintenance, public …

Unsupervised machine learning algorithms (clustering, genetic, and principal component
analysis) automate Unmanned Aerial Vehicle (UAV) missions as well as the creation and …

This study describes a new approach to Remotely Piloted Aerial Systems (RPAS)
photogrammetric mission flight planning. In this context, we have identified different issues …

In this paper, a Next Best View (NBV) approach with a profiling stage and a novel utility
function for 3D reconstruction using an Unmanned Aerial Vehicle (UAV) is proposed. The …