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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 …
vehicles (eVTOLs), emphasizing the critical role of autonomous navigation capabilities …
Advanced air mobility: Research directions for communications, navigation, and surveillance
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 …
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 …
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 …
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
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 …
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 …
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 …
vehicles (UAVs), comprising both consumer grade and professional small drones, collected …
Comparative analysis of radar-cross-section-based UAV recognition techniques
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 …
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
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 …
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 …
Unmanned Aerial Vehicles (UAVs) represent a rapidly increasing technology with profound
implications for various domains, including surveillance, security, and commercial …
implications for various domains, including surveillance, security, and commercial …