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 …
popular for both commercial and personal applications. As a result, security concerns in both …
A large-scale uav audio dataset and audio-based uav classification using cnn
The increased popularity and accessibility of UAVs may create potential threats.
Researchers have been developing UAV detection and classification systems with different …
Researchers have been developing UAV detection and classification systems with different …
UAV payload detection using deep learning and data augmentation
In recent years, the technology behind Unmanned Aerial Vehicles (UAVs) has continually
advanced. However, with these developments, malicious activities employing UAVs have …
advanced. However, with these developments, malicious activities employing UAVs have …
Audio based drone detection and identification using deep learning
S Al-Emadi, A Al-Ali, A Mohammad… - 2019 15th International …, 2019 - ieeexplore.ieee.org
In recent years, unmanned aerial vehicles (UAVs) have become increasingly accessible to
the public due to their high availability with affordable prices while being equipped with …
the public due to their high availability with affordable prices while being equipped with …
A feature engineering focused system for acoustic uav detection
Y Wang, FE Fagian, KE Ho… - 2021 Fifth IEEE …, 2021 - ieeexplore.ieee.org
The evolution of Unmanned Aerial Vehicles (UAVs) technology has made these devices
suitable for a wide new range of applications, but it has also raised safety concerns as UAVs …
suitable for a wide new range of applications, but it has also raised safety concerns as UAVs …
Acoustic drone detection based on transfer learning and frequency domain features
Currently, drones are widely used in various sectors because of their affordability, flexibility
and ability to carry payloads during their flights. Nevertheless, drones are excluded from …
and ability to carry payloads during their flights. Nevertheless, drones are excluded from …
From Sound to Sight: Audio-Visual Fusion and Deep Learning for Drone Detection
The proliferation of airborne drones, while instrumental to a broad range of applications, has
led to an increased number of regulatory non-compliance incidents. The ubiquitous …
led to an increased number of regulatory non-compliance incidents. The ubiquitous …
Multiple drone detection and acoustic scene classification with deep learning
HC Vemula - 2018 - rave.ohiolink.edu
Classification of environmental scenes and detection of events in one's environment from
audio signals enables one to create better-planning agents, intelligent navigation systems …
audio signals enables one to create better-planning agents, intelligent navigation systems …
ADASS: Anti-Drone Audio Surveillance Sentinel via Embedded Machine Learning
The proliferation of drones at a consumer level enables malicious users to equip them with
recording devices to snoop sensitive information. Drones may also be used to carry …
recording devices to snoop sensitive information. Drones may also be used to carry …
Acoustic detection of drones through real-time audio attribute prediction
With the rise in popularity of drones, their use in anti-social activities has also proliferated.
Nationwide police increasingly report the appearance of drones in unauthorized settings …
Nationwide police increasingly report the appearance of drones in unauthorized settings …