Sensor Fusion and AI: infraView Demonstrates How X2BIM Bridges the Gap from Mobile Mapping to BIM
The digitalisation of rail transport requires precise, up-to-date and reliable data.
infraview.net
How such data can be efficiently derived from mobile measurement systems is demonstrated by Jakob Schubert and Alexander Winz of infraView in their presentation “Sensor Fusion &; AI for Rail Infrastructure: From Mobile Mapping to BIM”.
At the centre of the presentation is X2BIM, infraView’s solution for intelligently combining sensor data from multiple sources. By leveraging modern sensor fusion approaches in combination with artificial intelligence, X2BIM transforms large volumes of data into accurate and consistent information for planning, operations and maintenance.
Today, mobile mapping systems capture railway corridors at high speed and density using technologies such as LiDAR, cameras and GNSS. The key challenge, however, lies in processing and integrating these heterogeneous datasets. This is precisely where X2BIM comes into play: through sensor fusion, a comprehensive digital representation of the real rail infrastructure is created, which can be seamlessly integrated into existing BIM workflows.
The presentation illustrates how data-driven methods significantly improve the quality of as-built models, reduce manual effort and provide a reliable basis for digital planning and decision-making processes. In the context of increasing demands for efficiency, transparency and data currency, this approach plays a crucial role in the continued development of the rail sector.
www.infraview.net
