The growing ubiquity of drones has raised concerns over the ability of traditional air-space
monitoring technologies to accurately characterise such vehicles. Here, we present a CNN …

Distributed estimation of 6-DOF relative states, including three-dimensional relative poses
and three-dimensional relative positions, is a key problem in UAV (Unmanned Aerial …

This paper presents a three-dimensional (3D) localization and attitude estimation system to
track a Unmanned Aerial Vehicle (UAV) using a single camera without prior knowledge of …

This paper reports a novel optical localization method, including both the hardware design
and algorithm design, to track mobile Unmanned Aerial Vehicles (UAVs). The method relies …

In the last decades, current trends in autonomous navigation have demonstrated an
increased use of computational vision over traditional techniques. This relies on the fact that …

Ever since unmanned aerial vehicles (UAV), also known as drones, became available for
civilian use, their risks increased. Along with that, the need to control and monitor them …

Autonomous capture of an unknown non-cooperative aerial target is a complex task
requiring real-time target localization, trajectory prediction and control. The current work …

This article proposes Deep Reinforcement learning inspired image based visual servoing
(DRL-IBVS) controller for aerial robots. The proposed DRL-IBVS controller uses monocular …

Autonomous capture of aerial non-cooperative target is a complex task requiring expertise
from various fields like mechanical design, computer vision as well as estimation and control …

This work presents a drone localization method capable of 6DOF (six degrees of freedom)
real-time measurements requiring the use of only a single imager, and elliptical markers …