Defending airports from UAS: A survey on cyber-attacks and counter-drone sensing technologies

G Lykou, D Moustakas, D Gritzalis - Sensors, 2020 - mdpi.com
As the fastest growing segment of aviation, unmanned aerial systems (UAS) continue to
increase in number, technical complexity and capabilities. Numerous civilian and …

Drone cybersecurity issues, solutions, trend insights and future perspectives: a survey

AE Omolara, M Alawida, OI Abiodun - Neural computing and applications, 2023 - Springer
This paper presented an exhaustive survey on the security and privacy issues of drones.
These security concerns were thoroughly dissected, particularly the aspect of cybersecurity …

A survey on security and privacy issues of UAVs

Y Mekdad, A Aris, L Babun, A El Fergougui, M Conti… - Computer Networks, 2023 - Elsevier
In the 21st century, the industry of drones, also known as Unmanned Aerial Vehicles (UAVs),
has witnessed a rapid increase with its large number of airspace users. The tremendous …

Detecting flying objects using a single moving camera

A Rozantsev, V Lepetit, P Fua - IEEE transactions on pattern …, 2016 - ieeexplore.ieee.org
We propose an approach for detecting flying objects such as Unmanned Aerial Vehicles
(UAVs) and aircrafts when they occupy a small portion of the field of view, possibly moving …

Intensive review of drones detection and tracking: linear kalman filter versus nonlinear regression, an analysis case

RA Zitar, A Mohsen, AEF Seghrouchni… - … Methods in Engineering, 2023 - Springer
In this paper, an extensive review for objects and drones (AUVs) detection and tracking is
presented. The article presents state of the art methods used in detection and tracking of …

Internet of drones security: Taxonomies, open issues, and future directions

A Derhab, O Cheikhrouhou, A Allouch, A Koubaa… - Vehicular …, 2023 - Elsevier
Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …

Direct prediction of 3d body poses from motion compensated sequences

B Tekin, A Rozantsev, V Lepetit… - Proceedings of the IEEE …, 2016 - cv-foundation.org
We propose an efficient approach to exploiting motion information from consecutive frames
of a video sequence to recover the 3D pose of people. Previous approaches typically …

[HTML][HTML] Drone vs. bird detection: Deep learning algorithms and results from a grand challenge

A Coluccia, A Fascista, A Schumann, L Sommer… - Sensors, 2021 - mdpi.com
Adopting effective techniques to automatically detect and identify small drones is a very
compelling need for a number of different stakeholders in both the public and private …

SoK: Security and privacy in the age of commercial drones

B Nassi, R Bitton, R Masuoka… - … IEEE symposium on …, 2021 - ieeexplore.ieee.org
As the number of drones increases and the era in which they begin to fill the skies
approaches, an important question needs to be answered: From a security and privacy …

Air-to-air visual detection of micro-uavs: An experimental evaluation of deep learning

Y Zheng, Z Chen, D Lv, Z Li, Z Lan… - IEEE Robotics and …, 2021 - ieeexplore.ieee.org
This letter studies the problem of air-to-air visual detection of micro unmanned aerial
vehicles (UAVs) by monocular cameras. This problem is important for many applications …