UAV Detection and Tracking in Urban Environments Using Passive Sensors: A Survey
X Yan, T Fu, H Lin, F Xuan, Y Huang, Y Cao, H Hu… - Applied Sciences, 2023 - mdpi.com
Unmanned aerial vehicles (UAVs) have gained significant popularity across various
domains, but their proliferation also raises concerns about security, public safety, and …
domains, but their proliferation also raises concerns about security, public safety, and …
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 …
Radio-Frequency Based UAV Sensing Using Novel Hybrid Lightweight Learning Network
Q Wang, P Yang, X Yan, HC Wu, L He - IEEE Sensors Journal, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicle (UAV) sensing based on the emitted radio frequency (RF) signals
is investigated for UAV surveillance and control. A novel robust RF-based UAV sensing …
is investigated for UAV surveillance and control. A novel robust RF-based UAV sensing …
Robust Low-Cost Drone Detection and Classification Using Convolutional Neural Networks in Low SNR Environments
S Glüge, M Nyfeler, A Aghaebrahimian… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
The proliferation of drones, or unmanned aerial vehicles (UAVs), has raised significant
safety concerns due to their potential misuse in activities such as espionage, smuggling, and …
safety concerns due to their potential misuse in activities such as espionage, smuggling, and …
UAV Detection Using Reinforcement Learning
Unmanned Aerial Vehicles (UAVs) have gained significant popularity in both military and
civilian applications due to their cost-effectiveness and flexibility. However, the increased …
civilian applications due to their cost-effectiveness and flexibility. However, the increased …
Deep Learning Techniques for Advanced Drone Detection Systems: A Comprehensive Review of Techniques, Challenges and Future Directions
FNM Zamri, TS Gunawan, M Kartiwi… - … Journal of Electrical …, 2024 - section.iaesonline.com
Hierarchical Deep Learning Framework for Enhanced UAV Classification Mitigating Bluetooth and WiFi Interference
In recent years, there has been a widespread use of unmanned aerial vehicles (UAVs) or
drones on both commercial and defense applications. There is an increasing security …
drones on both commercial and defense applications. There is an increasing security …
Drone RF Signal Detection and Fingerprinting: UAVSig Dataset and Deep Learning Approach
T Zhao, BW Domae, C Steigerwald… - MILCOM 2024-2024 …, 2024 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are useful for commercial, recreational, and military
applications, but they can also be used by malicious attackers and pose security threats …
applications, but they can also be used by malicious attackers and pose security threats …
[PDF][PDF] Drone classification based on radio frequency: techniques, datasets, and challenges
B Sazdić-Jotić, B Bondžulić, I Pokrajac… - 10th International …, 2023 - researchgate.net
This research article presents a comprehensive review of current literature on drone
classification (detection and identification) in the radio-frequency domain. The usage of …
classification (detection and identification) in the radio-frequency domain. The usage of …
Radio Frequency-based Drone Detection and Classification Using Discrete Fourier Transform and LightGBM
KH Sung, SJ Lee - Journal of The Korea Society of Computer and …, 2024 - koreascience.kr
In this study, we proposed an efficient model that can detect and classify the drones and
related devices based on radio frequency signals. In order to increase the applicability in the …
related devices based on radio frequency signals. In order to increase the applicability in the …