Machine learning-based drone detection and classification: State-of-the-art in research

B Taha, A Shoufan - IEEE access, 2019 - ieeexplore.ieee.org
This paper presents a comprehensive review of current literature on drone detection and
classification using machine learning with different modalities. This research area has …

Defending airports from UAS: A survey on cyber-attacks and counter-drone sensing technologies

G Lykou, D Moustakas, D Gritzalis - Sensors, 2020 - mdpi.com
As the fastest growing segment of aviation, unmanned aerial systems (UAS) continue to
increase in number, technical complexity and capabilities. Numerous civilian and …

Anti-drone system with multiple surveillance technologies: Architecture, implementation, and challenges

X Shi, C Yang, W Xie, C Liang, Z Shi… - IEEE Communications …, 2018 - ieeexplore.ieee.org
In recent years, drones have undergone tremendous development. Due to the low price and
ease of use, drones have been widely utilized in many application scenarios, which …

Counter-unmanned aircraft system (s)(C-UAS): State of the art, challenges, and future trends

J Wang, Y Liu, H Song - IEEE Aerospace and Electronic …, 2021 - ieeexplore.ieee.org
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 …

Vision-based anti-uav detection and tracking

J Zhao, J Zhang, D Li, D Wang - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAV) have been widely used in various fields, and their invasion
of security and privacy has aroused social concern. Several detection and tracking systems …

Deep learning on multi sensor data for counter UAV applications—A systematic review

S Samaras, E Diamantidou, D Ataloglou, N Sakellariou… - Sensors, 2019 - mdpi.com
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 …

Protect your sky: A survey of counter unmanned aerial vehicle systems

H Kang, J Joung, J Kim, J Kang, YS Cho - Ieee Access, 2020 - ieeexplore.ieee.org
Recognizing the various and broad range of applications of unmanned aerial vehicles
(UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications …

[HTML][HTML] 飞鸟与无人机目标雷达探测与识别技术进展与展望

陈小龙, 陈唯实, 饶云华, 黄勇, 关键, 董云龙 - 雷达学报, 2020 - radars.ac.cn
飞鸟和无人机(UAVs) 是典型的“低慢小” 目标, 具有低可观测性, 对两者的有效监视和识别成为
保障空中航路安全, 城市安保等需求迫切需要解决的难题. 飞鸟和无人机目标类型多 …

Detection and classification of multirotor drones in radar sensor networks: A review

A Coluccia, G Parisi, A Fascista - Sensors, 2020 - mdpi.com
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 …

Deep learning-based UAV detection in pulse-Doppler radar

C Wang, J Tian, J Cao, X Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
With the popularity of unmanned aerial vehicles (UAVs), how to conduct automatic and
effective detection to prevent unauthorized flying has become an important issue. The …