Development of computer vision algorithms using convolutional neural networks and deep
learning has necessitated ever greater amounts of annotated and labelled data to produce …

Abstract The use of Unmanned Aerial Vehicles (UAVs) has surged in the last two decades,
making them popular instruments for a wide range of applications, and leading to a …

You are holding in your hands… oh, come on, who holds books like this in their hands
anymore? Anyway, you are reading this, and it means that I have managed to release one of …

As an essential component for many autonomous driving and robotic activities such as ego-
motion estimation, obstacle avoidance and scene understanding, monocular depth …

Recent years have seen an unprecedented spread of Unmanned Aerial Vehicles (UAVs, or
“drones”), which are highly useful for both civilian and military applications. Flight safety is a …

The past few decades have witnessed great progress for unmanned aerial vehicles (UAVs)
in civilian fields, especially in photogrammetry and remote sensing. In contrast with manned …

With the massive proliferation of data-driven algorithms, such as deep learning-based
approaches, the availability of high-quality data is of great interest. Volumetric data is very …

Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

Environment perception by computing the depth is a key task for unmanned aerial vehicle
(UAV) type systems. Due to the limited load they can carry, most drones are equipped with a …

Unmanned aerial vehicles (UAVs) also known as drones are increasingly populating our
skies. This represents a relevant issue both for the legislator and the researcher. While the …