Localization software for digital railway applications

Kurzfassung

Vehicle position and velocity information is vital for many digital railway use cases. With affordable onboard GNSS (receivers and antennas) and IMU (inertial measurement units), more and more vehicle data become available in the rail domain. However, it remains a complex task to convert multi-sensor recordings into position and velocity information of the required quality. In this context, the paper shows localization software for rail vehicle positioning developed by the DLR Institute of Transportation Systems. General remarks on the onboard and digital track network data as well as Kalman filter algorithms are presented along their respective combination in offline and online localization use cases.