Drone and controller detection and localization: Trends and challenges

J Yousaf, H Zia, M Alhalabi, M Yaghi, T Basmaji… - Applied Sciences, 2022 - mdpi.com
Unmanned aerial vehicles (UAVs) have emerged as a rapidly growing technology seeing
unprecedented adoption in various application sectors due to their viability and low cost …

Droneprint: Acoustic signatures for open-set drone detection and identification with online data

H Kolamunna, T Dahanayaka, J Li… - Proceedings of the …, 2021 - dl.acm.org
With the ubiquitous availability of drones, they are adopted benignly in multiple applications
such as cinematography, surveying, and legal goods delivery. Nonetheless, they are also …

Radio frequency fingerprint-based drone identification and classification using Mel spectrograms and pre-trained YAMNet neural

KK Mohammed, EI Abd El-Latif, NE El-Sayad… - Internet of Things, 2023 - Elsevier
The convergence of drones with the Internet of Things (IoT) has paved the way for the
Internet of Drones (IoD), an interconnected network of drones, ground control systems, and …

A review of security incidents and defence techniques relating to the malicious use of small unmanned aerial systems

CJ Swinney, JC Woods - IEEE Aerospace and Electronic …, 2022 - ieeexplore.ieee.org
Critical national infrastructure sites, such as airports and nuclear facilities, have been subject
to a number of airspace breaches from malicious unmanned aerial systems (UASs) in recent …

[HTML][HTML] LoRa-based outdoor localization and tracking using unsupervised symbolization

KZ Islam, D Murray, D Diepeveen, MGK Jones, F Sohel - Internet of Things, 2024 - Elsevier
This paper proposes a long-range (LoRa)-based outdoor localization and tracking method.
Our method presents an unsupervised localization approach that utilizes symbolized LoRa …

LTrack: A LoRa-based indoor tracking system for mobile robots

K Hu, C Gu, J Chen - IEEE Transactions on Vehicular …, 2022 - ieeexplore.ieee.org
The robot's mobility and intelligence have expanded its application in recent years.
Specifically, indoor tracking is a fundamental function of public service robots in nursing …

RF-based low-SNR classification of UAVs using convolutional neural networks

E Ozturk, F Erden, I Guvenc - arXiv preprint arXiv:2009.05519, 2020 - arxiv.org
This paper investigates the problem of classification of unmanned aerial vehicles (UAVs)
from radio frequency (RF) fingerprints at the low signal-to-noise ratio (SNR) regime. We use …

Autonomous capture of agile flying objects using UAVs: The MBZIRC 2020 challenge

M Vrba, Y Stasinchuk, T Báča, V Spurný… - Robotics and …, 2022 - Elsevier
In this paper, a novel approach for autonomously catching fast flying objects is presented, as
inspired by the Mohamed Bin Zayed International Robotics Challenge (MBZIRC) 2020. In …

See-mcam: Scalable multi-bit fefet content addressable memories for energy efficient associative search

S Shou, CK Liu, S Yun, Z Wan, K Ni… - 2023 IEEE/ACM …, 2023 - ieeexplore.ieee.org
Artificial intelligence has made remarkable advancements in recent years, leading to the
development of algorithms and models capable of handling ever-increasing amounts of …

Localization by signals of opportunity in the absence of transmitter position

Y Zhang, KC Ho - IEEE Transactions on Signal Processing, 2022 - ieeexplore.ieee.org
Localization of an object by signals of opportunity may not have the transmitter position and
the synchronization with the transmitter. Additionally, a receiver may not be able to resolve …