Efficient air-to-air drone detection with composite multi-dimensional attention

X Yin, R Jin, D Lin - … 18th International Conference on Control & …, 2024 - ieeexplore.ieee.org
Visual UAV detection has become a key technology in areas such as formation flight, low-
altitude obstacle avoidance and anti-drone operations due to its affordablility, compact size …

Searching Region-Free and Template-Free Siamese Network for Tracking Drones in TIR Videos

B Huang, Z Dou, J Chen, J Li, N Shen… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
With the growing threat of unmanned aerial vehicle (UAV) intrusions, the topic of anti-UAV
tracking has received widespread attention from the community. Traditional Siamese …

[HTML][HTML] A Survey on Vision-Based Anti Unmanned Aerial Vehicles Methods

B Wang, Q Li, Q Mao, J Wang, CLP Chen… - Drones, 2024 - mdpi.com
The rapid development and widespread application of Unmanned Aerial Vehicles (UAV)
have raised significant concerns about safety and privacy, thus requiring powerful anti-UAV …

Segmentation of drone collision hazards in airborne RADAR point clouds using PointNet

H Arroyo, P Keir, D Angus, S Matalonga… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The integration of drones into shared airspace for beyond visual line of sight (BVLOS)
operations presents significant challenges but holds transformative potential for sectors like …

Low-Altitude UAV Detection Based on Vehicle-Mounted Wideband Programmable Metasurface

H Xu, D Guan, Z Li, KD Xu, Z Liu… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The private and indiscriminate flying of low-altitude unmanned aerial vehicles (UAVs)
seriously violates human privacy and airspace traffic safety. In this work, we propose a low …

Drone/Bird Classification Based on Features of Tracks Trajectories

M Kengeskanov, AEF Seghrouchni… - 2023 IEEE …, 2023 - ieeexplore.ieee.org
This paper presents the outcome of several machine learning techniques used for the task of
bird/drone classification based on their tracks. Instead of using static images, the dynamics …

AMGAN: An Attribute-Matched Generative Adversarial Network for UAV Virtual Sample Generation

Z Yang, X Jia, Y Shen, Y Yang, H Li… - Neural Processing …, 2023 - Springer
The recognition and detection of unmanned aerial vehicles (UAV) usually face the difficulty
of insufficient samples. Given a limited number of real UAV images, it is a challenging task to …

Forensic Examination of Drones: A Comprehensive Study of Frameworks, Challenges, and Machine Learning Applications

E Debas, A Albuali, MMH Rahman - IEEE Access, 2024 - ieeexplore.ieee.org
Unmanned Aerial Vehicles (UAVs) have evolved into necessary assets across various
sectors, motivating a need for strong controllability technologies in applications like flight …

Image-based Automated Framework for Detecting and Classifying Unmanned Aerial Vehicles

R Hamadi, H Ghazzai… - 2023 IEEE International …, 2023 - ieeexplore.ieee.org
UAVs are expected to be extensively used in many applications related to modern
transportation systems, eg, traffic monitoring, flying police-eye, and flying roadside units …

UAV-Assisted Target Tracking and Computation Offloading in USV-Based MEC Networks

Z Wang, J Du, C Jiang, Y Ren… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicles (UAVs) have been widely used in ocean target
tracking and image acquisition for processing. Due to the limited energy of the UAV and the …