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 …

Recent advances in thermal imaging and its applications using machine learning: A review

AN Wilson, KA Gupta, BH Koduru, A Kumar… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Recent advancements in thermal imaging sensor technology have resulted in the use of
thermal cameras in a variety of applications, including automotive, industrial, medical …

Single-stage uav detection and classification with yolov5: Mosaic data augmentation and panet

F Dadboud, V Patel, V Mehta, M Bolic… - 2021 17th IEEE …, 2021 - ieeexplore.ieee.org
In Drone-vs-Bird Detection Challenge in conjunction with the 4th International Workshop on
Small-Drone Surveillance, Detection and Counteraction Techniques at IEEE AVSS 2021, we …

[HTML][HTML] 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 …

[HTML][HTML] 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 …

Drone transportation system: Systematic review of security dynamics for smart mobility

SO Ajakwe, DS Kim, JM Lee - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
The intelligence and integrity of a real-time cyber–physical system depend on how
trustworthy the data's legitimacy, appropriation, and authorization are during end-to-end …

[HTML][HTML] Drone detection and tracking in real-time by fusion of different sensing modalities

F Svanström, F Alonso-Fernandez, C Englund - Drones, 2022 - mdpi.com
Automatic detection of flying drones is a key issue where its presence, especially if
unauthorized, can create risky situations or compromise security. Here, we design and …

[HTML][HTML] A modified YOLOv4 Deep Learning Network for vision-based UAV recognition

F Dadrass Javan, F Samadzadegan, M Gholamshahi… - Drones, 2022 - mdpi.com
The use of drones in various applications has now increased, and their popularity among
the general public has increased. As a result, the possibility of their misuse and their …

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 …

[HTML][HTML] Acoustic-based UAV detection using late fusion of deep neural networks

P Casabianca, Y Zhang - Drones, 2021 - mdpi.com
Multirotor UAVs have become ubiquitous in commercial and public use. As they become
more affordable and more available, the associated security risks further increase …