Small Target Detection in a Radar Surveillance System Using Contractive Autoencoders

S Wagner, W Johannes, D Qosja… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the rapid development of unpiloted aerial vehicles (UAVs), also known as drones, in
recent years, the need for surveillance systems that are able to detect drones has grown as …

Multi-agent reinforcement learning for multiple rogue drone interception

P Valianti, K Malialis, P Kolios… - … on Unmanned Aircraft …, 2023 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs) are increasingly being utilized for a wide variety of
applications. However, malicious or illegal UAV (drone) activity poses great challenges for …

An examination of sUAS operations in proximity to a major US Airport

RJ Wallace, SR Winter, S Rice, JM Loffi, S Misra… - Technology in …, 2024 - Elsevier
The use of small, Unmanned Aircraft Systems (sUAS) has proliferated in the past several
years. While operators are supposed to avoid operations in the immediate vicinity of airports …

[PDF][PDF] Classification of Low-Resolution Flying Objects in Videos Using the Machine Learning Approach.

I Stancic, L Veic, J Music, T Grujic - Advances in Electrical & Computer …, 2022 - bib.irb.hr
A challenge of detecting and identifying drones has emerged due to the significant increase
in recreational and commercial drones operating range, payload size, and overall …

Translearn-yolox: Improved-yolo with transfer learning for fast and accurate multiclass uav detection

MU Khan, M Dil, M Misbah, FA Orakazi… - … and Digital Systems …, 2023 - ieeexplore.ieee.org
The emergence of unmanned aerial vehicles (UAVs) raised multiple concerns, given their
potential for malicious misuse in unlawful acts Vision-based counter-UAV applications offer …

Vision-based UAV detection for air-to-air neutralization

F González, R Caballero… - … Symposium on Safety …, 2021 - ieeexplore.ieee.org
The widespread availability of Unmanned Aerial Vehicles (UAVs) poses potential threats for
people and properties on the ground, and other airspace users. This work introduces the …

Competitive perimeter defense with a turret and a mobile vehicle

S Bajaj, SD Bopardikar, AV Moll, E Torng… - Frontiers in Control …, 2023 - frontiersin.org
We consider perimeter defense problem in a planar conical environment with two
cooperative heterogeneous defenders, ie, a turret and a mobile vehicle, that seek to defend …

Enhanced UAV Detection and Classification Using Machine Learning and MIMO Radars

AN Sayed, H Abedi, OM Ramahi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
In the present investigation, the impacts of antenna field of view (FOV) on the accuracy of
machine learning (ML) models utilized for the classification of various unmanned air vehicle …

Analyzing deep reinforcement learning model decisions with Shapley additive explanations for counter drone operations

E Çetin, C Barrado, E Salamí, E Pastor - Applied Intelligence, 2024 - Springer
As the use of drones continues to increase, their capabilities pose a threat to airspace safety
when they are misused. Deploying AI models for intercepting these unwanted drones …

Modifying a mini drone for remote drug delivery for wildlife medicine

M Yindee, P Khumngoen… - Drone Systems and …, 2024 - cdnsciencepub.com
Remote drug delivery is an essential tool for administering medication to wildlife. However,
the conventional method, the dart gun, has limitations in terms of injection distance, posing …