The Drone-vs-Bird Detection Grand Challenge at ICASSP 2023: A Review of Methods and Results-Reference-Cited by-同舟云学术

The Drone-vs-Bird Detection Grand Challenge at ICASSP 2023: A Review of Methods and Results

Published:2024 Issue: Volume:5 Page:766-779
ISSN:2644-1322
Container-title:IEEE Open Journal of Signal Processing
language:
Short-container-title:IEEE Open J. Signal Process.

Author:

Coluccia Angelo¹^ORCID,Fascista Alessio¹^ORCID,Sommer Lars²^ORCID,Schumann Arne²,Dimou Anastasios³^ORCID,Zarpalas Dimitrios³^ORCID

Affiliation:

1. Department of Innovation Engineering, University of Salento, Lecce, Italy

2. Fraunhofer Center for Machine Learning, Fraunhofer IOSB, Karlsruhe, Germany

3. Centre for Research and Technology Hellas, Visual Computing Lab, Information Technologies Institute, Thessaloniki, Greece

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8782710/10376377/10475518.pdf?arnumber=10475518

Reference44 articles.

1. Online UAV Path Planning for Joint Detection and Tracking of Multiple Radio-Tagged Objects

2. RIS-Assisted UAV Communications for IoT With Wireless Power Transfer Using Deep Reinforcement Learning

3. Toward integrated large-scale environmental monitoring using WSN/UAV/Crowdsensing: A review of applications, signal processing, and future perspectives;Fascista,2022

4. A comprehensive review of unmanned aerial vehicle attacks and neutralization techniques;Chamola,2021

5. UAS sightings report,2023

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