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Author: Albert Bodenmüller

Affiliation: Airbus Defence and Space GmbH, Germany

ISBN: 978-989-758-284-4

Keyword(s): Military Target Identification, Situation Awareness, Bayes Decision Theory, AIS, GMTI.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Business Analytics ; Cardiovascular Technologies ; Computing and Telecommunications in Cardiology ; Data Engineering ; Data Manipulation ; Decision Support Systems ; Decision Support Systems, Remote Data Analysis ; Health Engineering and Technology Applications ; Knowledge-Based Systems ; Multi-Sensor Data Processing ; Reasoning on Sensor Data ; Sensor Data Fusion ; Sensor Networks ; Symbolic Systems

Abstract: Military Command and Control Systems have to deal with a wide range of different sensors and sources. Besides traditional information sources like IFF, Tactical Data Links and ESM sensors additional sources like AIS, Blue Force Tracking and GMTI Radar become important sources for target identification and classification. A correct identification is an important prerequisite to prevent fratricide and civilian collateral damages and to complete the Situational Awareness. This paper gives an overview of our solution for the extension of the Bayesian identification process in order to establish a tactical picture for naval but also for air and ground targets. For some sensors and important identification source like Automatic Identification System (AIS), Automatic Target Recognition (ATR) and GMTI Radar our solution approach will be detailed.

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Paper citation in several formats:
Bodenmüller, A. (2018). Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems.In Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS, ISBN 978-989-758-284-4, pages 107-114. DOI: 10.5220/0006629401070114

@conference{sensornets18,
author={Albert Bodenmüller.},
title={Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems},
booktitle={Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS,},
year={2018},
pages={107-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006629401070114},
isbn={978-989-758-284-4},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Sensor Networks - Volume 1: SENSORNETS,
TI - Bayesian Multi-sensor Data Fusion for Target Identification - Applications in Naval and Ground based Command and Control Systems
SN - 978-989-758-284-4
AU - Bodenmüller, A.
PY - 2018
SP - 107
EP - 114
DO - 10.5220/0006629401070114

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