[HTML][HTML] RF/WiFi-based UAV surveillance systems: A systematic literature review
Abstract The deployment of Unmanned Aerial Vehicles (UAVs) has gained increasing
interest in various applications during recent years due to its multiple features. At the same …
interest in various applications during recent years due to its multiple features. At the same …
-10CNN-Based UAV Detection and Classification Using Sensor Fusion
H Lee, S Han, JI Byeon, S Han, R Myung… - IEEE …, 2023 - ieeexplore.ieee.org
This paper proposes a detection and classification method for unmanned aerial vehicles,
commonly called drones, using sensor fusion schemes. Datasets for drone detection and …
commonly called drones, using sensor fusion schemes. Datasets for drone detection and …
RF Drone Detection System Based on a Distributed Sensor Grid With Remote Hardware-Accelerated Signal Processing
PŁ Flak, R Czyba - IEEE Access, 2023 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs), sometimes known as drones, evolved from military to
civilian applications, opening up novel perspectives in a variety of everyday services. The …
civilian applications, opening up novel perspectives in a variety of everyday services. The …
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 …
[PDF][PDF] Internet of things
I Bisio, C Garibotto, H Haleem, F Lavagetto… - 2016 - researchgate.net
ABSTRACT The deployment of Unmanned Aerial Vehicles (UAVs) has gained increasing
interest in various applications during recent years due to its multiple features. At the same …
interest in various applications during recent years due to its multiple features. At the same …
Malicious UAV Detection over Rician Fading Channel: Performance Analysis
Unmanned aerial vehicles (UAVs) are predicted to be widely used in both military and
civilian sectors in the coming years due to their high mobility, low cost, and enhancement of …
civilian sectors in the coming years due to their high mobility, low cost, and enhancement of …
Radio Frequency Signal-Based Drone Classification with Frequency Domain Gramian Angular Field and Convolutional Neural Network.
Y Fu, Z He - Drones (2504-446X), 2024 - search.ebscohost.com
Over the past few years, drones have been utilized in a wide range of applications.
However, the illegal operation of drones may pose a series of security risks to sensitive …
However, the illegal operation of drones may pose a series of security risks to sensitive …
Intelligent Identification and Classification of Small UAV Remote Control Signals Based on Improved Yolov5-7.0
M Li, D Hao, J Wang, S Wang, Z Zhong, Z Zhao - IEEE Access, 2024 - ieeexplore.ieee.org
At present, an increasing number of small UAVs (Unmanned Aerial Vehicles) are
commercialized and common, and the application of small UAVs has very good …
commercialized and common, and the application of small UAVs has very good …
Robust Semi-Supervised Regression for Vehicle Interior Noise Prediction
S Sim, J Bae, SB Kim - IEEE Access, 2023 - ieeexplore.ieee.org
The rapid advancement of artificial intelligence has observed increased application in
predicting vehicle interior noise levels within the automotive industry. However, the …
predicting vehicle interior noise levels within the automotive industry. However, the …
Two-Path Conventional Neural Network Based Signal-to-Noise Ratio Evaluation for UAV Communication Link
Y **ong, Y Yang, X **g - Applied Sciences, 2023 - mdpi.com
With the development of information technology, unmanned aerial vehicles (UAVs) have
become an indispensable and important part of daily life and they have brought great …
become an indispensable and important part of daily life and they have brought great …