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Author

Carolin Frueh

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3 papers indexed here

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Open access Sep 2026

A Data-Driven Probability Hypothesis Density Filter with Parameter Flow Implementation for Space Situational Awareness

The Finite Sets Statistics-based Probability Hypothesis Density filter offers a description of a group of known or unknown targets as a single random entity with a Bayesian filtering framework. The Probability Hypothesis Density filter has often been employed in the Space Situational Awareness detection and tracking of...

J. F. Gutiérrez, Carolin Frueh · 0 citations
Aug 2026

Parameter Flow Implementation for Probability Hypothesis Density Filter

This work develops and demonstrates the fusion of the homotopy via the parameter flow implementation into the framework of the PHD filter in Gaussian mixture form and two examples of the parameter flow GM-PHD filters are shown to deliver a more accurate posterior intensity compared to the classical GM-PHD.

J. F. Gutiérrez, Carolin Frueh · 0 citations
Sep 2026

Adaptive Filtering for Multisatellite Relative Navigation with Quantized Measurements

In non-cooperative close-proximity operations, onboard optical measurements of a nearby space object can be used to determine its relative state. If the target geometry is known a priori, range information can be inferred from the apparent target extent in the image plane using a process known as stadiametric range fin...

Simone Semeraro, John L. Iannamorelli, Keith A. LeGrand et al. · 0 citations

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