Unauthorized Drones: Classifications and Detection Techniques
Ali Y. Al-Zahrani · 2023
The emergence and widespread use of unmanned aerial vehicles (UAVs), commonly known as drones, have brought about numerous benefits and opportunities across various industries. However, this technological advancement has also introduced new security challenges, with the threat of rogue drones posing significant risks to public safety. This paper presents a comprehensive view of the classifications and detection methods associated with rogue drones. We explore various categories of rogue drones, considering factors such as their capabilities, sizes, and purposes, which influence the potential risks they pose. Next, we review state-of-the-art detection techniques, ranging from radar-based systems to advanced sensor technologies and computer vision solutions. It is evident that drone detection is a complex task due to high resemblance between drones and the background objects such as birds. The performance of detection solutions usually depends on the class of attacking drones and the detection technology being implemented. This paper also highlights the methods of performance evaluation. Finally, we conclude by exploring the potential future developments and research directions for enhanced rogue drone detection.