Detection and tracking of non-cooperative flying obstacles using low SWaP radar and optical sensors: an experimental analysis
Author:
Affiliation:
1. University of Naples "Federico II",Department of Industrial Engineering,Naples,Italy,80125
Funder
Ministry of Education
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9836022/9835714/09836085.pdf?arnumber=9836085
Reference21 articles.
1. Analyzing Radar Cross Section Signatures of Diverse Drone Models at mmWave Frequencies
2. Drone Classification Using Convolutional Neural Networks With Merged Doppler Images
3. Improved Sensing Strategies for Low Altitude Non Cooperative Sense and Avoid
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3. Assessing Performance of Radar and Visual Sensing Techniques for Ground-To-Air Surveillance in Advanced Air Mobility;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01
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