A review of quadrotor unmanned aerial vehicles: applications, architectural design and control algorithms

M Idrissi, M Salami, F Annaz - Journal of Intelligent & Robotic Systems, 2022 - Springer
Over the past decade, unmanned aerial vehicles (UAVs) have received a significant
attention due to their diverse capabilities for non-combatant and military applications. The …

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 …

Survey on anti-drone systems: Components, designs, and challenges

S Park, HT Kim, S Lee, H Joo, H Kim - IEEE access, 2021 - ieeexplore.ieee.org
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 …

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 …

A review of counter-UAS technologies for cooperative defensive teams of drones

VU Castrillo, A Manco, D Pascarella, G Gigante - Drones, 2022 - mdpi.com
In recent years, the drone market has had a significant expansion, with applications in
various fields (surveillance, rescue operations, intelligent logistics, environmental …

RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database

MF Al-Sa'd, A Al-Ali, A Mohamed, T Khattab… - Future Generation …, 2019 - Elsevier
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to
technical, security, and public safety issues that need to be addressed, regulated and …

Micro-UAV detection and classification from RF fingerprints using machine learning techniques

M Ezuma, F Erden, CK An**appa… - 2019 IEEE …, 2019 - ieeexplore.ieee.org
This paper focuses on the detection and classification of micro-unmanned aerial vehicles
(UAVs) using radio frequency (RF) fingerprints of the signals transmitted from the controller …

Secure communication in IOT-based UAV networks: A systematic survey

J Sharma, PS Mehra - Internet of Things, 2023 - Elsevier
Abstract IoT (Internet of Things) has revolutionized the world with its applications like home
automation, transportation, agriculture, etc. IoT-based Unmanned Aerial Vehicle (UAV) …

[HTML][HTML] A review on object detection in unmanned aerial vehicle surveillance

A Ramachandran, AK Sangaiah - International Journal of Cognitive …, 2021 - Elsevier
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 …