Autonomous navigation for eVTOL: Review and future perspectives

H Wei, B Lou, Z Zhang, B Liang… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
This survey paper explores the emergent domain of electric vertical takeoff and landing
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …

Advanced air mobility: Research directions for communications, navigation, and surveillance

K Namuduri, UC Fiebig, DW Matolak… - IEEE Vehicular …, 2022 - ieeexplore.ieee.org
Advanced air mobility (AAM) is an emerging industry focus as well as a research and
development discipline. Innovations and technologies resulting from AAM will change the …

[HTML][HTML] Drone detection and tracking using rf identification signals

D Aouladhadj, E Kpre, V Deniau, A Kharchouf… - Sensors, 2023 - mdpi.com
The market for unmanned aerial systems (UASs) has grown considerably worldwide, but
their ability to transmit sensitive information poses a threat to public safety. To counter these …

Improved radar detection of small drones using doppler signal-to-clutter ratio (DSCR) detector

J Gong, J Yan, H Hu, D Kong, D Li - Drones, 2023 - mdpi.com
The detection of drones using radar presents challenges due to their small radar cross-
section (RCS) values, slow velocities, and low altitudes. Traditional signal-to-noise ratio …

A deep learning model of radio wave propagation for precision agriculture and sensor system in greenhouses

D Cama-Pinto, M Damas, JA Holgado-Terriza… - Agronomy, 2023 - mdpi.com
The production of crops in greenhouses will ensure the demand for food for the world's
population in the coming decades. Precision agriculture is an important tool for this purpose …

Small fixed-wing UAV radar cross-section signature investigation and detection and classification of distance estimation using realistic parameters of a commercial …

IK Kapoulas, A Hatziefremidis, AK Baldoukas… - Drones, 2023 - mdpi.com
Various types of small drones constitute a modern threat for infrastructure and hardware, as
well as for humans; thus, special-purpose radar has been developed in the last years in …

Radar detection performance prediction using measured UAVs RCS data

M Rosamilia, A Balleri, A De Maio… - … on Aerospace and …, 2022 - ieeexplore.ieee.org
This article presents measurements of radar cross section (RCS) of five unmanned aerial
vehicles (UAVs), comprising both consumer grade and professional small drones, collected …

Comparative analysis of radar-cross-section-based UAV recognition techniques

M Ezuma, CK An**appa, V Semkin… - IEEE Sensors …, 2022 - ieeexplore.ieee.org
This work investigates the problem of unmanned aerial vehicle (UAV) recognition using their
radar cross section (RCS) signature. The RCS of six commercial UAVs is measured at 15 …

Open set learning for RF-based drone recognition via signal semantics

N Yu, J Wu, C Zhou, Z Shi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
The abuse of drones has raised critical concerns about public security and personal privacy,
bringing an urgent requirement for drone recognition. Existing radio frequency (RF)-based …

[HTML][HTML] Frequency-Modulated Continuous-Wave Radar Perspectives on Unmanned Aerial Vehicle Detection and Classification: A Primer for Researchers with …

AN Sayed, OM Ramahi, G Shaker - Drones, 2024 - mdpi.com
Unmanned Aerial Vehicles (UAVs) represent a rapidly increasing technology with profound
implications for various domains, including surveillance, security, and commercial …