Deutsche Zentrum für Schienenverkehrsforschung (DZSF) · August 2023 to April 2024
Dynamic image data acquisition and fully automated evaluation to record specific route characteristics and infrastructure elements.
As project of the DZSF, a collection of infrastructure data in the Open Digital Test Field (ODT) is carried out as a basis for the planning of future research projects of various use cases (e.g. in the areas of noise protection, intermodal mobility offers, testing of innovative solutions, automation and digitization). For this purpose, geo-referenced image data will be acquired for the entire railway network in the ODT and enriched with specific information to enable a fast localization of a wide variety of technical facilities and environmental conditions.
The data acquisition will be carried out by using a mobile mapping system specifically developed for the measurement of railway infrastructure. The recording system can be mounted on railway traction vehicles and records high-resolution image data. This data is then georeferenced, analyzed by intelligent evaluation algorithms and supplemented with information on recognizable infrastructure elements and features of the railway tracks. In this process, automatic anonymization also takes place to comply with the DSGVO. The project results are finally integrated into the DZSF database and can subsequently be used for other projects.
Key areas of service
- Dynamic acquisition of image data during operation (two perspectives)
- GDPR-compliant data processing
- Fully automated evaluation based on machine learning
- Georeferenced image data provision including track properties and infrastructure elements
Special features
The entire ODT covers over 2.500 kilometres of track and is carried out with the TRAXIMIZER multi-sensor system during ongoing operations without interrupting operations. Due to the wide variety of track conditions, the project involves cooperation with several railway companies and infrastructure operators. By using machine learning, it is possible to efficiently analyse the resulting data volumes and create a comprehensive basis for future projects in the ODT.