Enhanced Multi-Source Information Fusion for Advanced Air Mobility Through Aibased Situation Assessment and Incorporating OSINT Data

We present an overview of the Enhanced Multi-Source Information Fusion(EMSIF)projectas well as the research work carried out during the project. The aim is to create an improved situation picture for the future application domain Advanced Air Mobility. The improvement comprises two parts On the one hand new types of data sources are integrated, such as OSINT data and Background Knowledge(BK)On the other hand conventional Multi-Source Information Fusion (MSIF)is often limited to the initial stage which focuses on estimating the states of individual entities. In contrast. the subsequent stage focuses on a higher level of inference which takes into account the relations between these entities to identify critical situations and derive conclusionsThat allows the operator to detect and evaluate hazardous situations more easily, even in crowded environments

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Publication Details

Published
2025-06-02
DOI
https://doi.org/10.1109/cogsima64436.2025.11079528
Primary Topic
Target Tracking and Data Fusion in Sensor Networks
Type
article
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article

Enhanced Multi-Source Information Fusion for Advanced Air Mobility Through Aibased Situation Assessment and Incorporating OSINT Data

Christoph Allig, C. Schmid, Ulrich Lode
Target Tracking and Data Fusion in Sensor Networks
article

Enhanced Multi-Source Information Fusion for Advanced Air Mobility Through Aibased Situation Assessment and Incorporating OSINT Data

Christoph Allig, C. Schmid, Ulrich Lode
article en

Abstract

We present an overview of the Enhanced Multi-Source Information Fusion(EMSIF)projectas well as the research work carried out during the project. The aim is to create an improved situation picture for the future application domain Advanced Air Mobility. The improvement comprises two parts On the one hand new types of data sources are integrated, such as OSINT data and Background Knowledge(BK)On the other hand conventional Multi-Source Information Fusion (MSIF)is often limited to the initial stage which focuses on estimating the states of individual entities. In contrast. the subsequent stage focuses on a higher level of inference which takes into account the relations between these entities to identify critical situations and derive conclusionsThat allows the operator to detect and evaluate hazardous situations more easily, even in crowded environments

Hensoldt (Germany) (DE)
Openalex Percentile: Top 91%
Target Tracking and Data Fusion in Sensor Networks
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Enhanced Multi-Source Information Fusion for Advanced Air Mobility Through Aibased Situation Assessment and Incorporating OSINT Data — Christoph Allig, C. Schmid, et al. · (2025) | TGRS Research Map | TGRS