6 papers
A System for Train Condition Monitoring and Structural Health Assessment of Rail Vehicles
Maximilian Posner, Martin Dazer, Daniela Lauer +4
The ongoing digitalization of rail systems and the increasing use of artificial intelligence (AI) are fundamentally transforming the design, operation, and maintenance of rail vehi…
A GitOps-Driven Annotation Catalog for Fully Automatic Railway Operations
Martin Köppel, Tobias Cronauer, Zekiye Ilknur-Öz +3
Automatic train operation (ATO) at grade of automation 3 and above (GoA3-GoA4) requires robust AI-based perception systems capable of reliably detecting obstacles and railway-speci…
A Multi-Sensor Dataset for Monitoring the Operational Environment of Rail Vehicles
Claudio Diotallevi, Rodrigo Gudiño, Zaharia Pachalieva +5
Reliable environment monitoring is essential for the safe and efficient operation of automated railway systems, covering all Grades of Automation (GoA), from partially automated (G…
Railway Artificial Intelligence Learning Benchmark (RAIL-BENCH): A Benchmark Suite for Perception in the Railway Domain
Annika Bätz, Pavel Klasek, Seo-Young Ham +3
Automated train operation on existing railway infrastructure requires robust camera-based perception, yet the railway domain lacks public benchmark suites with standardized evaluat…
Automated Quality Check of Sensor Data Annotations
Niklas Freund, Zekiye Ilknur-Ãz, Tobias Klockau +3
The monitoring of the route and track environment plays an important role in automated driving. For example, it can be used as an assistance system for route monitoring in automati…
Driving-Over Detection in the Railway Environment
Tobias Herrmann, Nikolay Chenkov, Florian Stark +2
To enable fully automated driving of trains, numerous new technological components must be introduced into the railway system. Tasks that are nowadays carried out by the operating…