Industrial mathematics for autonomous mobility: Research infrastructure and algorithmic advances
24 Jun 2026
Room 2
Software, AI & SDV Architecture session 2
Since 2016, extensive research has been conducted on highly automated driving in real road traffic. The Safety Control Center and MUTIG-VORAN projects have established a comprehensive infrastructure, including automated research vehicles, a teleoperation control center, V2X‑enabled traffic lights and a private test site. The presentation outlines hardware and software across the AD function chain, from mapping and localization to decision-making and control. Industrial mathematics supports robust, scalable algorithms. Video sequences provide practical insights into challenges and solutions for safe and explainable autonomous systems.
- How industrial mathematics enables robust algorithms for automated driving
- Insights into mapping, localization, perception, planning and decision-making pipelines
- How research vehicles, teleoperation and V2X infrastructure support real-world validation
- Methods for optimizing trajectories and verifying safety‑critical decisions mathematically
- Practical challenges and solutions demonstrated through real‑operation video sequences

