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 …

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 …

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 …

Machine learning inspired efficient audio drone detection using acoustic features

S Salman, J Mir, MT Farooq, AN Malik… - … on Applied Sciences …, 2021 - ieeexplore.ieee.org
With the recent proliferation of drones in the consumer market, drone detection has become
critical to address the security and privacy issues raised by drone technology. This paper …

[HTML][HTML] Noise2Weight: On detecting payload weight from drones acoustic emissions

OA Ibrahim, S Sciancalepore, R Di Pietro - Future Generation Computer …, 2022 - Elsevier
The increasing popularity of autonomous and remotely-piloted drones has paved the way for
several use-cases and application scenarios, including merchandise delivery, surveillance …

SVM-based drone sound recognition using the combination of HLA and WPT techniques in practical noisy environment

Y He, I Ahmad, L Shi, KH Chang - KSII Transactions on Internet and …, 2019 - koreascience.kr
In recent years, the development of drone technologies has promoted the widespread
commercial application of drones. However, the ability of drone to carry explosives and other …

Autonomous Drone Detection and Classification Using Computer Vision and Prony Algorithm-Based Frequency Feature Extraction

J Najafi, S Mirzakuchaki, S Shamaghdari - Journal of Intelligent & Robotic …, 2025 - Springer
This paper presents a practical and automated system for high-accuracy drone detection
and classification using acoustic signals. Our approach leverages a novel frequency feature …

Detection and recognition of UA targets with multiple sensors

WS Chen, XL Chen, J Liu, QB Wang, XF Lu… - The Aeronautical …, 2023 - cambridge.org
Modern low-altitude unmanned aircraft (UA) detection and surveillance systems mostly
adopt the multi-sensor fusion technology scheme of radar, visible light, infrared, acoustic …

Методы обнаружения-распознавания радиолокационных, акустических, оптических и инфракрасных сигналов беспилотных летательных аппаратов

VM Kartashov, VA Pososhenko, VV Voronin… - Radiotekhnika, 2021 - rt.nure.ua
Одна из актуальных задач заключается в защите разнообразных объектов от
воздействия беспилотных летательных аппаратов (БПЛА), несущих потенциальную …

Drone Sound Classification using Chromagram Features: A Novel Approach

K Algotar, R Chattopadhyay, S Bansal… - 2024 Eighth IEEE …, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs), or drones, are increasingly equipped with technologies
like GPS, LIDAR, radar, and visual sensors, enabling diverse applications such as …