Aktuelle Publikationen

April 2025

Global or local modeling for XGBoost in geospatial studies upon simulated data and German COVID-19 infection forecasting

Ximeng Cheng, Jackie Ma

This research compares the local- and global modeling ways of XGBoost in the geospatial studies. Two experiments based on simulation data and German COVID-19 infection data were conducted to compare the two modeling ways from multiple aspects....


April 2025

SPNeRF: Open Vocabulary 3D Neural Scene Segmentation with Superpoints

Weiwen Hu, Oliver Schreer, Peter Eisert, Ingo Feldmann, Marcus Zepp, Niccolo Parodi

We introduce SPNerf, a NeRF based zero-shot 3D segmentation approach that leverages geometric priors. We integrate geometric primitives derived from 3D scene into NeRF training to produce primitive-wise CLIP features, avoiding the ambiguity of...


April 2025

3D photonic integrated interposer enabling connectivity between multicore fibers and photonic integrated circuits

Madeleine Weigel, Norbert Keil, Martin Schell, Moritz Kleinert, Crispin Zawadzki, David de Felipe Mesquida, Martin Kresse, Tianwen Qian, Jakob Reck, Klara Mihov, Philipp Winklhofer, Lea Flach

A novel 3D photonic integrated interposer is developed for coupling the different layers of Multi-core-fiber (MCF) cores with arrays of conventional 2D electro-absorption modulated lasers (EMLs) and photodetectors (PDs). The 3D photonic...


April 2025

Next Generation XR Systems-Large Language Models Meet Augmented and Virtual Reality

Muhamamd Zeshan Afzal, Peter Eisert, Anna Hilsmann, SK Aziz Ali, Didier Stricker, Daniel Perez-Marcos, Marco Bianchi, Sonia Crottaz-Herbette, Roberto De Ioris, Eleni Mangina, Mirco Sanguineti, Ander Salaberria, Oier Lopez de Lacalle, Aitor García-Pablos, Montse Cuadros

Extended Reality (XR) is evolving rapidly, offering new paradigms for humancomputer interaction. This position paper argues that integrating Large Language Models (LLMs) with XR systems represents a fundamental shift toward more intelligent,...


März 2025

Improving Geometric Consistency for 360-Degree Neural Radiance Fields in Indoor Scenarios

Iryna Repinetska, Peter Eisert, Anna Hilsmann

NeRFs struggle with low-textured areas, causing "floaters" that reduce realism, especially on featureless surfaces. We propose a method for computing dense depth priors for these areas, using a novel depth loss function and patch regularization...


März 2025

Data Governance Framework for Telemetry Sharing

Angela Mitrovska, Johannes Fischer, Mohammad Behnam Shariati, Pooyan Safari

We propose a novel solution using the Eclipse Dataspace Components (EDC) Connector to enable regulated and policy-driven telemetry data sharing in telco ecosystems. We present its architecture, several compatible use-cases, and results validating...


März 2025

7.75 Gbit/s LiFi Transmitter Using High-Power VCSEL Arrays

Malte Hinrichs, Volker Jungnickel, Ronald Freund, Dominic Schulz, Giulio Boniello

We report on a wide-beam LiFi transmitter using multiple VCSEL arrays with digital drivers. We transmit a 3.75 GBd PAM-3 signal at a gross data rate of 5.625 Gbit/s. Single-driver OOK operation yields 7.75 GBd.


März 2025

Experimental Demonstration of a Correlation-Avoidance CMA for Blind Space-Division Multiplexed MIMO Equalization

Pamir Oezsuna, Colja Schubert, Carsten Schmidt-Langhorst, Ronald Freund, Robert Emmerich, Nicolas Braig-Christophersen, Georg Rademacher, Ruben S. Luis, Aymeric Arnould, Emil Luis Spoiden, Benjamin J. Puttnam, Kazuhiko Aikawa

We demonstrate blind 6x6 adaptive equalization of 32 GBd DP-QPSK 3-mode transmission over a 54 km FMF based on the singularity-free convergence ability of the correlation-avoidance CMA (CA-CMA). The CA-CMA is used for robust pre-convergence in a...


März 2025

Link Tomography: A Tool for Monitoring Optical Network and Designing Digital Twins

Matheus Ribeiro Sena, Robert Emmerich, Mohammad Behnam Shariati, Ralf-Peter Braun, Marc Geitz, Johannes K. Fischer, Ronald Freund

Researchers from Deutsche Telekom AG and Fraunhofer HHI explores the Link Tomography, a receiver-based DSP approach for monitoring optical networks and detecting anomalies. Delving into concepts and building methodologies, it addresses challenges...


März 2025

Automatic Drywall Analysis for Progress Tracking and Quality Control in Construction

Mariusz Trzeciakiewicz, Peter Eisert, Anna Hilsmann, Niklas Gard, Aleixo Cambeiro Barreiro

This paper presents an automated drywall analysis method for construction progress and quality assessment using on-site cameras. It integrates a deep learning-based segmentation model to detect and classify drywall elements, with a module to...


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