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 …

On the detection of unauthorized drones—Techniques and future perspectives: A review

MA Khan, H Menouar, A Eldeeb… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
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 …

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 …

Drone detection and defense systems: Survey and a software-defined radio-based solution

FL Chiper, A Martian, C Vladeanu, I Marghescu… - Sensors, 2022 - mdpi.com
With the decrease in the cost and size of drones in recent years, their number has also
increased exponentially. As such, the concerns regarding security aspects that are raised by …

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 …

Combined RF-based drone detection and classification

S Basak, S Rajendran, S Pollin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Despite several beneficial applications, unfortunately, drones are also being used for illicit
activities such as drug trafficking, firearm smuggling or to impose threats to security-sensitive …

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 …

Drone detection with X-band ubiquitous radar

ÁD De Quevedo, FI Urzaiz, JG Menoyo… - 2018 19th …, 2018 - ieeexplore.ieee.org
This paper presents the design and experimental results on commercial-drone detection
with a ubiquitous frequency modulated continuous wave (FMCW) radar system …

Review of radar classification and RCS characterisation techniques for small UAVs or drones

JS Patel, F Fioranelli… - IET Radar, Sonar & …, 2018 - Wiley Online Library
This review explores radar‐based techniques currently utilised in the literature to monitor
small unmanned aerial vehicle (UAV) or drones; several challenges have arisen due to their …

Deep learning-based strategies for the detection and tracking of drones using several cameras

E Unlu, E Zenou, N Riviere, PE Dupouy - IPSJ Transactions on Computer …, 2019 - Springer
Commercial Unmanned aerial vehicle (UAV) industry, which is publicly known as drone, has
seen a tremendous increase in last few years, making these devices highly accessible to …