output
20202025
most citedOSDaR23: Open Sensor Data for Rail 2023

44 citations

6 papers

cs.LG2025

Enclosing Prototypical Variational Autoencoder for Explainable Out-of-Distribution Detection

Conrad Orglmeister, Erik Bochinski, Volker Eiselein +1

Understanding the decision-making and trusting the reliability of Deep Machine Learning Models is crucial for adopting such methods to safety-relevant applications. We extend self-…

physics.ins-det2025

The QTF-Backbone: Proposal for a Nationwide Optical Fibre Backbone in Germany for Quantum Technology and Time and Frequency Metrology

Tara Cubel Liebisch, Peter Kaufmann, Harald Schnatz +166

The recent breakthroughs in the distribution of quantum information and high-precision time and frequency (T&F) signals over long-haul optical fibre networks have transformative po…

cs.CV2023★ 44 cited

OSDaR23: Open Sensor Data for Rail 2023

Rustam Tagiew, Martin Köppel, Karsten Schwalbe +6

To achieve a driverless train operation on mainline railways, actual and potential obstacles for the train's driveway must be detected automatically by appropriate sensor systems.…

math.OC2022★ 1 cited

Partitioned vs. Integrated Planning of Hinterland Networks for LCL Transportation

Niklas Jost, Dorothee Henke, Ivo Hedtke +4

Utilizing existing transportation networks better and designing (parts of) networks involves routing decisions to minimize transportation costs and maximize consolidation effects.…

stat.AP2021★ 8 cited

A white-boxed ISSM approach to estimate uncertainty distributions of Walmart sales

Rafael de Rezende, Katharina Egert, Ignacio Marin +1

We present our solution for the M5 Forecasting - Uncertainty competition. Our solution ranked 6\ts{th} out of 909 submissions across all hierarchical levels and ranked first for pr…

cs.CR2020★ 13 cited

A Security Architecture for Railway Signalling

Christian Schlehuber, Markus Heinrich, Tsvetoslava Vateva-Gurova +2

We present the proposed security architecture Deutsche Bahn plans to deploy to protect its trackside safety-critical signalling system against cyber-attacks. We first present the e…