Unmanned aerial vehicles (UAVs) are at the forefront of this century's technological shift,
becoming ubiquitous in research and market areas. However, as a UAV navigates …

The vast increase in the available computational capability has allowed the application of
Particle-Filter (PF)-based approaches for monocular 3D-model-based tracking. These filters …

Much research has been accomplished in the area of drone landing and specifically pose
estimation. While some of these works focus on sensor fusion using GPS, or GNSS, we …

UAVs of various shapes and sizes have rapidly emerged, creating an urgent need for a
highly transferable, fast, and robust 6D pose estimation method for visual tasks such as UAV …

A method for the development of Time-to-Collision (TTC) mathematical model for outdoor
Unmanned Aerial Vehicle (UAV) using Particles Swarm Optimization (PSO), are presented …

This paper presents a new approach for estimating the motion state of a target that is
maneuvered by an unknown human from observations. To improve the estimation accuracy …

With recent advances in science and technology, more processing capability and data have
become available, allowing a more straightforward implementation of data analysis …

The monitoring and regulation of unauthorized, unresponsive, or uncommunicative non-
cooperative UAVs is still one of the great challenges in airspace safety management …

The existing transmission line surface defect detection methods have the problem of
incomplete image data set, resulting in a low recognition success rate. A transmission line …

In this paper we present a novel approach to controlling small unmanned aircraft in third-
person perspective scenarios. Our approach uses monocular imagery to mimic the human …