Drone applications fighting COVID-19 pandemic—Towards good practices

Á Restás - Drones, 2022 - mdpi.com
Of the recent epidemics, the impact of the COVID-19 pandemic has been particularly severe,
not only putting our health at risk, but also negatively affecting our daily lives. As there are no …

The internet of audio things: State of the art, vision, and challenges

L Turchet, G Fazekas, M Lagrange… - IEEE internet of …, 2020 - ieeexplore.ieee.org
The Internet of Audio Things (IoAuT) is an emerging research field positioned at the
intersection of the Internet of Things, sound and music computing, artificial intelligence, and …

Drones in emergency response–evidence from cross-border, multi-disciplinary usability tests

C Wankmüller, M Kunovjanek, S Mayrgündter - International Journal of …, 2021 - Elsevier
Harsh terrain, extreme weather conditions, and logistics challenges pose certain risks to
rescue workers when they are responding to emergencies in mountainous regions. During …

Drones detection using a fusion of RF and acoustic features and deep neural networks

A Frid, Y Ben-Shimol, E Manor, S Greenberg - Sensors, 2024 - mdpi.com
The use of drones has recently gained popularity in a diverse range of applications, such as
aerial photography, agriculture, search and rescue operations, the entertainment industry …

Ai-based drone assisted human rescue in disaster environments: Challenges and opportunities

N Papyan, M Kulhandjian, H Kulhandjian… - Pattern Recognition and …, 2024 - Springer
In this survey we are focusing on utilizing drone-based systems for the detection of
individuals, particularly by identifying human screams and other distress signals. This study …

Deep-learning-assisted sound source localization from a flying drone

L Wang, A Cavallaro - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
Sound source localization from a flying drone is a challenging task due to the strong ego-
noise from rotating motors and propellers as well as the movement of the drone and the …

[HTML][HTML] Drone audition: Audio signal enhancement from drone embedded microphones using multichannel wiener filtering and gaussian-mixture based post-filtering

WN Manamperi, TD Abhayapala, PN Samarasinghe… - Applied Acoustics, 2024 - Elsevier
In this paper, we consider the problem of recovering desired sound source signals from on-
board microphone recordings on a noisy drone. Enhancement of source signal degraded by …

Single-channel speech enhancement using implicit Wiener filter for high-quality speech communication

RK Jaiswal, SR Yeduri, LR Cenkeramaddi - International Journal of …, 2022 - Springer
Speech enables easy human-to-human communication as well as human-to-machine
interaction. However, the quality of speech degrades due to background noise in the …

[HTML][HTML] 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 …

Blockchain for securing aerial communications: Potentials, solutions, and research directions

RL Kumar, QV Pham, F Khan, MJ Piran, K Dev - Physical Communication, 2021 - Elsevier
Most natural disasters are consequences of hurricanes, floods, volcano eruptions, and
earthquakes, and can severely disturb traditional communications networks and interrupt …