Image partitioning with windowed and panoramic configuration for passive 360-degree camera in military unmanned ground vehicle: A machine learning-based detection framework
Authors
Adrian Borzyszkowski
Department of Computing, Faculty of Technology, University of Turku, Turku, Finland
Christian Andersson
Department of Computing, Faculty of Technology, University of Turku, Department of War Technology, Finnish National Defence University, Turku
Luca Zelioli
Department of Computing, Faculty of Technology, University of Turku, Turku, Finland
Paavo Nevalainen
Department of Computing, Faculty of Technology, University of Turku, Turku, Finland
Jukka Heikkonen
Department of Computing, Faculty of Technology, University of Turku, Turku, Finland
Language: English
Submitted on: Apr 30, 2025
Accepted on: Aug 24, 2025
Published on: Oct 15, 2025
Published by: National Defense University
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
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© 2025 Adrian Borzyszkowski, Christian Andersson, Luca Zelioli, Paavo Nevalainen, Jukka Heikkonen, published by National Defense University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.