Machine learning-based drone detection and classification: State-of-the-art in research
This paper presents a comprehensive review of current literature on drone detection and
classification using machine learning with different modalities. This research area has …
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 …
increase in number, technical complexity and capabilities. Numerous civilian and …
Anti-drone system with multiple surveillance technologies: Architecture, implementation, and challenges
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 …
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
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 …
have been experiencing healthy growth in the United States and around the world. The …
Vision-based anti-uav detection and tracking
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 …
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
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 …
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
Recognizing the various and broad range of applications of unmanned aerial vehicles
(UAVs) and unmanned aircraft systems (UAS) for personal, public and military applications …
(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 …
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 …
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 …
effective detection to prevent unauthorized flying has become an important issue. The …