Unauthorized Drone Detection: Experiments and Prototypes
Author:
Affiliation:
1. Qatar University,Qatar Mobility Innovations Center (QMIC),Doha,Qatar
Funder
Qatar National Research Fund
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10002706/10002716/10002815.pdf?arnumber=10002815
Reference24 articles.
1. Real-time drone detection and recognition by acoustic fingerprint
2. Secure Data Transmission and Trustworthiness Judgement Approaches Against Cyber-Physical Attacks in an Integrated Data-Driven Framework
3. Amateur Drones Detection: A machine learning approach utilizing the acoustic signals in the presence of strong interference
4. Yolov4: Optimal speed and accuracy of object detection;bochkovskiy;ArXiv,2020
5. DronePrint
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1. Securing Your Airspace: Detection of Drones Trespassing Protected Areas;Sensors;2024-03-22
2. Unauthorized Drones: Classifications and Detection Techniques;2023 IEEE 11th International Conference on Systems and Control (ICSC);2023-12-18
3. Deep Learning-based drone acoustic event detection system for microphone arrays;Multimedia Tools and Applications;2023-10-31
4. Detecting and tracking the position of suspicious objects using vision system;Artificial Intelligence for Security and Defence Applications;2023-10-17
5. A Comparative Study of Unauthorized Drone Detection Techniques;2023 9th International Conference on Information Technology Trends (ITT);2023-05-24
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