On the detection of unauthorized drones—Techniques and future perspectives: A review

MA Khan, H Menouar, A Eldeeb… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
The market size of civilian drones is tremendously increasing and is expected to reach 1.66
million by the end of 2023. The increase in number of civilian drones poses several privacy …

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 …

Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review

U Seidaliyeva, L Ilipbayeva, K Taissariyeva, N Smailov… - Sensors, 2023 - mdpi.com
The fast development of unmanned aerial vehicles (UAVs), commonly known as drones, has
brought a unique set of opportunities and challenges to both the civilian and military sectors …

[HTML][HTML] A dataset for multi-sensor drone detection

F Svanström, F Alonso-Fernandez, C Englund - Data in Brief, 2021 - Elsevier
The use of small and remotely controlled unmanned aerial vehicles (UAVs), referred to as
drones, has increased dramatically in recent years, both for professional and recreative …

Investigating cost-effective RF-based detection of drones

P Nguyen, M Ravindranatha, A Nguyen… - Proceedings of the 2nd …, 2016 - dl.acm.org
Beyond their benign uses, civilian drones have increasingly been used in problematic ways
that have stirred concern from the public and authorities. While many anti-drone systems …

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 …

Detection and recognition of drones based on a deep convolutional neural network using visible imagery

F Samadzadegan, F Dadrass Javan, F Ashtari Mahini… - Aerospace, 2022 - mdpi.com
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 …

Survey on anti-drone systems: Components, designs, and challenges

S Park, HT Kim, S Lee, H Joo, H Kim - IEEE access, 2021 - ieeexplore.ieee.org
This paper presents a comprehensive survey on anti-drone systems. After drones were
released for non-military usages, drone incidents in the unarmed population are gradually …

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 …

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 …