A review of counter-UAS technologies for cooperative defensive teams of drones

VU Castrillo, A Manco, D Pascarella, G Gigante - Drones, 2022 - mdpi.com
In recent years, the drone market has had a significant expansion, with applications in
various fields (surveillance, rescue operations, intelligent logistics, environmental …

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 …

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 …

A survey of guidance, navigation, and control systems for autonomous multi-rotor small unmanned aerial systems

JA Marshall, W Sun, A L'Afflitto - Annual Reviews in control, 2021 - Elsevier
This survey paper presents a holistic perspective on the state-of-the-art in the design of
guidance, navigation, and control systems for autonomous multi-rotor small unmanned …

A review on auditory perception for unmanned aerial vehicles

J Martinez-Carranza, C Rascon - Sensors, 2020 - mdpi.com
Although a significant amount of work has been carried out for visual perception in the
context of unmanned aerial vehicles (UAVs), not so much has been done regarding auditory …

[HTML][HTML] Realizing Small UAV Targets Recognition via Multi-Dimensional Feature Fusion of High-Resolution Radar

W Jiang, Z Liu, Y Wang, Y Lin, Y Li, F Bi - Remote Sensing, 2024 - mdpi.com
For modern radar systems, small unmanned aerial vehicles (UAVs) belong to a typical types
of targets with 'low, slow, and small'characteristics. In complex combat environments, the …

Benchmarking audio-based deep learning models for detection and identification of unmanned aerial vehicles

SS Katta, S Nandyala, EK Viegas… - 2022 Workshop on …, 2022 - ieeexplore.ieee.org
Over the last few years, Unmanned Aerial Vehicles (UAVs) have become increasingly
popular for both commercial and personal applications. As a result, security concerns in both …

Real-world on-board uav audio data set for propeller anomalies

SS Katta, K Vuojärvi, S Nandyala… - ICASSP 2022-2022 …, 2022 - ieeexplore.ieee.org
Detecting propeller damage in Unmanned Aerial Vehicles (UAV) is a crucial step in
ensuring their operational resilience and safety. In this work, we present a novel real-world …

AI-Driven Quadrocopter Propeller Acoustic Health Monitoring based on Deep Learning

A Ahmed, SMR Rahman… - 2024 8th …, 2024 - ieeexplore.ieee.org
In daily rescue missions, Unmanned Aerial Vehicles (UAVs) are vital. Finding propeller
damage in UAVs is a critical first step in guaranteeing safe operation and endurance …

Change in the Spectrum of EM Radiation of the Electric Propulsion System of a UAV under Conditions of Forced Flight Stabilization

T Jačionis, V Urbanavičius - 2024 IEEE 11th Workshop on …, 2024 - ieeexplore.ieee.org
In the presence of new warfare technologies based on unmanned aerial vehicles (UAVs) or
drones as a new type of mass production threats, today it is crucial to develop systems …