Benchmarking Audio-based Deep Learning Models for Detection and Identification of Unmanned Aerial Vehicles

Author:

Katta Sai Srinadhu1,Nandyala Sivaprasad1,Viegas Eduardo Kugler1,AlMahmoud Abdelrahman1

Affiliation:

1. Technology Innovation Institute (TII),Secure Systems Research Centre (SSRC),Abu Dhabi,U.A.E.

Publisher

IEEE

Reference24 articles.

1. Micro-uav detection and classification from rf fingerprints using machine learning techniques;erden;2019 IEEE Aerospace Conference,2019

2. Aerial and surface security applications using lidar. in laser radar technology and applications;matheson;International Society for Optics and Photonics,2018

3. A surveillance system for drone localization and tracking using acoustic arrays;yang;Proc IEEE Sensor Array Multichannel Signal Processing Workshop (SAM),2018

4. Detection of nearby UAVs using a multi-microphone array on board a UAV

5. Audio-Based Drone Detection and Identification Using Deep Learning Techniques with Dataset Enhancement through Generative Adversarial Networks

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1. Drones Detection Using a Fusion of RF and Acoustic Features and Deep Neural Networks;Sensors;2024-04-10

2. Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review;Sensors;2023-12-26

3. Self-Supervised Drone Detection Using Acoustic Data;2023 Seventh IEEE International Conference on Robotic Computing (IRC);2023-12-11

4. Deep Learning-based drone acoustic event detection system for microphone arrays;Multimedia Tools and Applications;2023-10-31

5. A Small UAV Detection Method Based on Optical Flow and Visual Feature Fusion;2023 IEEE 23rd International Conference on Communication Technology (ICCT);2023-10-20

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