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 …

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 …

Real-time and accurate drone detection in a video with a static background

U Seidaliyeva, D Akhmetov, L Ilipbayeva, ET Matson - Sensors, 2020 - mdpi.com
With the increasing number of drones, the danger of their illegal use has become relevant.
This has necessitated the creation of automatic drone protection systems. One of the …

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 …

Deep learning for unmanned aerial vehicles detection: A review

N Al-lQubaydhi, A Alenezi, T Alanazi, A Senyor… - Computer Science …, 2024 - Elsevier
As a new type of aerial robotics, drones are easy to use and inexpensive, which has
facilitated their acquisition by individuals and organizations. This unequivocal 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 …

[HTML][HTML] Drone vs. bird detection: Deep learning algorithms and results from a grand challenge

A Coluccia, A Fascista, A Schumann, L Sommer… - Sensors, 2021 - mdpi.com
Adopting effective techniques to automatically detect and identify small drones is a very
compelling need for a number of different stakeholders in both the public and private …

Single-stage uav detection and classification with yolov5: Mosaic data augmentation and panet

F Dadboud, V Patel, V Mehta, M Bolic… - 2021 17th IEEE …, 2021 - ieeexplore.ieee.org
In Drone-vs-Bird Detection Challenge in conjunction with the 4th International Workshop on
Small-Drone Surveillance, Detection and Counteraction Techniques at IEEE AVSS 2021, we …

Drone-vs-bird detection challenge at IEEE AVSS2021

A Coluccia, A Fascista, A Schumann… - 2021 17th IEEE …, 2021 - ieeexplore.ieee.org
This paper presents the 4-th edition of the “drone-vs-bird” detection challenge, launched in
conjunction with the the 17-th IEEE International Conference on Advanced Video and Signal …

Unmanned aerial vehicle visual detection and tracking using deep neural networks: A performance benchmark

BKS Isaac-Medina, M Poyser… - Proceedings of the …, 2021 - openaccess.thecvf.com
Abstract Unmanned Aerial Vehicles (UAV) can pose a major risk for aviation safety, due to
both negligent and malicious use. For this reason, the automated detection and tracking of …