A Deep Learning Approach for Drone Detection and Classification Using Radar and Camera Sensor Fusion
Author:
Affiliation:
1. Aerospace Research Centre, National Research Council Canada,Montreal,Canada
2. School of Electrical Engineering and Computer Science, University of Ottawa,Ottawa,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10253663/10253664/10254123.pdf?arnumber=10254123
Reference33 articles.
1. A drone detection with aircraft classification based on a camera array
2. On the Detection of Unauthorized Drones—Techniques and Future Perspectives: A Review
3. Deep learning-based strategies for the detection and tracking of drones using several cameras
4. Real-Time Drone Detection Using Deep Learning Approach
5. Sensor Fusion for Drone Detection
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2. IoT-enabled unmanned traffic management system with dynamic vision-based drone detection for sense and avoid coordination;Real-Time Image Processing and Deep Learning 2024;2024-06-07
3. A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions;Remote Sensing;2024-03-01
4. Advances and Challenges in Drone Detection and Classification Techniques: A State-of-the-Art Review;Sensors;2023-12-26
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