The main research focus of the group is the development of optical measurement systems for the condition monitoring of railroad infrastructure. The focus is on particularly robust and fast systems that can be used to measure clearance profiles, poles, overhead lines, rails or tunnels with high precision. The group develops productive, low-maintenance measuring systems with a high degree of automation. We use machine learning methods such as deep learning for the fully automated analysis of 2D and 3D measurement data. We not only develop, but also install, commission and maintain the systems.
Systems for condition monitoring and mapping of railroad infrastructure
- Surveying of overhead lines at speeds of up to 250 km/h
- Railway line clearance monitoring with an accuracy of 3 mm
- Environment scanning with up to 800 profiles per second
- Track profile measurement with an accuracy of 0.3 mm
- Tunnel inspection: 360° 3D-geometry scanning, crack detection with millimeter resolution, moisture detection, contactless detection of delamination
Signal processing and analysis
- Anonymization of image data on the measuring vehicle in real time
- Real-time data reduction for fast and efficient data transmission
- Data evaluation in real time
- Fusion of 3D and 2D data including positioning and texturing