A survey on machine-learning techniques for UAV-based communications
Unmanned aerial vehicles (UAVs) will be an integral part of the next generation wireless
communication networks. Their adoption in various communication-based applications is …
communication networks. Their adoption in various communication-based applications is …
Real-time drone detection and tracking with visible, thermal and acoustic sensors
F Svanström, C Englund… - … Conference on Pattern …, 2021 - ieeexplore.ieee.org
This paper explores the process of designing an automatic multi-sensor drone detection
system. Besides the common video and audio sensors, the system also includes a thermal …
system. Besides the common video and audio sensors, the system also includes a thermal …
RF-based UAV detection and identification using hierarchical learning approach
Unmanned Aerial Vehicles (UAVs) are widely available in the current market to be used
either for recreation as a hobby or to serve specific industrial requirements, such as …
either for recreation as a hobby or to serve specific industrial requirements, such as …
A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions
Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields,
including disaster relief, aerial photography and videography, mapping and surveying …
including disaster relief, aerial photography and videography, mapping and surveying …
[HTML][HTML] Drone detection and tracking in real-time by fusion of different sensing modalities
F Svanström, F Alonso-Fernandez, C Englund - Drones, 2022 - mdpi.com
Automatic detection of flying drones is a key issue where its presence, especially if
unauthorized, can create risky situations or compromise security. Here, we design and …
unauthorized, can create risky situations or compromise security. Here, we design and …
A comprehensive micro unmanned aerial vehicle (UAV/Drone) forensic framework
In the early 1990s, unmanned aerial vehicles (UAV) were used exclusively in military
applications by various developed countries. Now with its ease of availability and …
applications by various developed countries. Now with its ease of availability and …
UAV communications with machine learning: challenges, applications and open issues
S Ben Aissa, A Ben Letaifa - Arabian Journal for Science and Engineering, 2022 - Springer
Unmanned aerial vehicles (UAV) have recently proved their ability to afford reliable and cost-
effective solutions for many real-world scenarios. The autonomy, mobility and flexibility …
effective solutions for many real-world scenarios. The autonomy, mobility and flexibility …
Time–frequency multiscale convolutional neural network for RF-based drone detection and identification
Due to recent technological advancements and significant decreases in their costs, drones
are gaining popularity rapidly. With drones becoming readily accessible to the public, the …
are gaining popularity rapidly. With drones becoming readily accessible to the public, the …
Dronesense: The identification, segmentation, and orientation detection of drones via neural networks
The growing ubiquity of drones has raised concerns over the ability of traditional air-space
monitoring technologies to accurately characterise such vehicles. Here, we present a CNN …
monitoring technologies to accurately characterise such vehicles. Here, we present a CNN …
Detection, identification, and direction of arrival estimation of drone FHSS signals with uniform linear antenna array
Safety, security, and privacy are three critical concerns affiliated with the use of drones in
everyday life. Considering their ever-shrinking sizes and capabilities, being aware of drone …
everyday life. Considering their ever-shrinking sizes and capabilities, being aware of drone …