Image partitioning with windowed and panoramic configuration for passive 360-degree camera in military unmanned ground vehicle: A machine learning-based detection framework Cover

Image partitioning with windowed and panoramic configuration for passive 360-degree camera in military unmanned ground vehicle: A machine learning-based detection framework

Journal of Military Studies

By: Adrian Borzyszkowski, Christian Andersson, Luca Zelioli, Paavo Nevalainen and Jukka Heikkonen

Open Access

|Oct 2025

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DOI: https://doi.org/10.2478/jms-2025-0007 | Journal eISSN: 1799-3350 | Journal ISSN: 2242-3524

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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

Keywords:

360-degree panoramic imaging,

machine learning,

object detection algorithms,

passive sensor,

unmanned ground vehicle

Related subjects:

Topics in history,

Military history,

Social sciences,

Political science,

Military policy

© 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.