Unmanned aircraft systems (UAS), or unmanned aerial vehicles, often referred to as drones,
have been experiencing healthy growth in the United States and around the world. The …

Purpose Computer vision in drones has gained a lot of attention from artificial intelligence
researchers. Providing intelligence to drones will resolve many real-time problems …

This paper presents a comprehensive survey on anti-drone systems. After drones were
released for non-military usages, drone incidents in the unarmed population are gradually …

As the number of drones increases and the era in which they begin to fill the skies
approaches, an important question needs to be answered: From a security and privacy …

Accurate motion capture of aerial robots in 3D is a key enabler for autonomous operation in
indoor environments such as warehouses or factories, as well as driving forward research in …

Drones equipped with a global navigation satellite system (GNSS) receiver for absolute
localization provide high-precision autonomous flight and hovering. However, the GNSS …

Unmanned aerial vehicle (UAV) detection and identification technology are two of the key
technologies of UAV supervision. This paper proposes a UAV detection and identification …

This paper addresses the problem of tracking a moving source, eg, a robot, equipped with
both receivers and a source, that is tracking its own location and simultaneously estimating …

The present work addresses the problem of continuous localization of a moving acoustic
source based on energy measurements. This type of measurements is of particular practical …

Radio Frequency (RF) combined with the deep learning methods promised a solution to
detect the presence of the drones. Indeed, the classical techniques (ie radar, vision and …