As a new type of aerial robotics, drones are easy to use and inexpensive, which has
facilitated their acquisition by individuals and organizations. This unequivocal and …

This paper presents a comprehensive review of current literature on drone detection and
classification using machine learning with different modalities. This research area has …

The market size of civilian drones is tremendously increasing and is expected to reach 1.66
million by the end of 2023. The increase in number of civilian drones poses several privacy …

Usage of Unmanned Aerial Vehicles (UAVs) is growing rapidly in a wide range of consumer
applications, as they prove to be both autonomous and flexible in a variety of environments …

This paper explores the process of designing an automatic multi-sensor drone detection
system. Besides the common video and audio sensors, the system also includes a thermal …

Thanks to recent technological advances, a new generation of low-cost, small, unmanned
aerial vehicles (UAVs) is available. Small UAVs, often called drones, are enabling …

In recent years, stealth aircraft penetration path planning has been a significant research
subject in the field of low altitude combat. However, previous works have mainly …

The early trajectory prediction of micro unmanned aerial vehicles (micro-UAVs) with random
behavior intentions facilitates the elimination of potential safety hazards. However, due to …

Most of the investigations on the micro-Doppler (MD) effect caused by a small unmanned
aerial vehicle (UAV) have been conducted using joint time–frequency (JTF) images rather …

Automatic detection of flying drones is a key issue where its presence, especially if
unauthorized, can create risky situations or compromise security. Here, we design and …