EventsEuropean Navigation Conference 2025
Published
This submission belongs to the session 3. Safety Critical Navigation of the event European Navigation Conference 2025
Published date
22 Sep, 2025
Academic Editor
author-avatarTomasz Hadas
Citation
Andreas Wenz, Michael Roth, Paulo Mendes, Roman Ehler, Andreas Bomonti, Camille Parra, Nikolas Dütsch, Toms Dorins, Keivan Kiyanfar, Judith Heusel, Alice Martin, Towards Safe Localisation for Railways: Results from the EGNSSMATE Project, in Proceedings of European Navigation Conference 2025, Wrocław, 21 May–23 May 2025, MDPI: Basel, Switzerland
Share
Email
Facebook
Twitter
LinkedIn

Towards Safe Localisation for Railways: Results from the EGNSS
MATE Project

Andreas Bomonti 1
Nikolas Dütsch 3
Camille Parra 3
Toms Dorins 3
Alice Martin 3
Keivan Kiyanfar 2
1. Swiss Federal Railways (SBB), Switzerland
2. German Aerospace Center (DLR), Germany
3. IABG mbH, Germany
Abstract

Safe train positioning is a key technology to make rail transportation more efficient and cost effective. Within the EGNSS MATE project, the project partners SBB, DLR and IABG researched the use of European Global Satellite Navigation Systems for this application.
The main contributions are the development of a novel map-based sensor fusion algorithm, the development of a test catalogue for jamming and spoofing cyberthreats and the collection of a large and rich data set for testing and validation. The dataset includes over 200 hours of data sensor and ground truth data, covering most of the Swiss normal gauge network. In addition, tests were conducted to assess the impact of jamming and spoofing attacks. Results show promising performance of the algorithms on most of the lines, excluding some long tunnels and sections with heavy multipath. The findings of the project results will help to introduce safe train positioning into ETCS by boosting the development and standardisation efforts.

Keywords
Railway
GNSS
localisation
sensor fusion
jamming spoofing
map data
A Solution to GNSS-denied Navigation for Aeronautics – combining GNSS-denied Navigation Means and Collaborative Navigation
Robust real-time automotive Visual SLAM with dynamic object removal