RF-based drone detection and identification using deep learning approaches: An initiative towards a large open source drone database
The omnipresence of unmanned aerial vehicles, or drones, among civilians can lead to
technical, security, and public safety issues that need to be addressed, regulated and …
technical, security, and public safety issues that need to be addressed, regulated and …
Single and multiple drones detection and identification using RF based deep learning algorithm
B Sazdić-Jotić, I Pokrajac, J Bajčetić… - Expert Systems with …, 2022 - Elsevier
Unmanned aerial systems, especially drones have gone through remarkable improvement
and expansion in recent years. Drones have been widely utilized in many applications and …
and expansion in recent years. Drones have been widely utilized in many applications and …
Drone detection approach based on radio-frequency using convolutional neural network
S Al-Emadi, F Al-Senaid - 2020 IEEE International Conference …, 2020 - ieeexplore.ieee.org
Recently, Unmanned Aerial Vehicles, also known as drones, are becoming rapidly popular
due to the advancement of their technology and the significant decrease in their cost …
due to the advancement of their technology and the significant decrease in their cost …
Deep learning for RF-based drone detection and identification: A multi-channel 1-D convolutional neural networks approach
MS Allahham, T Khattab… - 2020 IEEE International …, 2020 - ieeexplore.ieee.org
Commercial unmanned aerial vehicles, or drones, are getting increasingly popular in the
last few years. The fact that these drones are highly accessible to public may bring a range …
last few years. The fact that these drones are highly accessible to public may bring a range …
Machine learning-based drone detection and classification: State-of-the-art in research
This paper presents a comprehensive review of current literature on drone detection and
classification using machine learning with different modalities. This research area has …
classification using machine learning with different modalities. This research area has …
[HTML][HTML] DroneRF dataset: A dataset of drones for RF-based detection, classification and identification
Modern technology has pushed us into the information age, making it easier to generate and
record vast quantities of new data. Datasets can help in analyzing the situation to give a …
record vast quantities of new data. Datasets can help in analyzing the situation to give a …
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 …
facilitated their acquisition by individuals and organizations. This unequivocal and …
Machine learning framework for RF-based drone detection and identification system
OO Medaiyese, A Syed, AP Lauf - 2021 2nd International …, 2021 - ieeexplore.ieee.org
The emergence of drones has added a new dimension to privacy and security issues. There
are little or no strict regulations on the people that can purchase or own a drone. For this …
are little or no strict regulations on the people that can purchase or own a drone. For this …
Combined RF-based drone detection and classification
S Basak, S Rajendran, S Pollin… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Despite several beneficial applications, unfortunately, drones are also being used for illicit
activities such as drug trafficking, firearm smuggling or to impose threats to security-sensitive …
activities such as drug trafficking, firearm smuggling or to impose threats to security-sensitive …
Detection and recognition of drones based on a deep convolutional neural network using visible imagery
Drones are becoming increasingly popular not only for recreational purposes but also in a
variety of applications in engineering, disaster management, logistics, securing airports, and …
variety of applications in engineering, disaster management, logistics, securing airports, and …