Nicolas Baumann
Institute for Biomedical Engineering, Richard Wolf (Germany)
Papers
4
Total Citations
27
H-Index
2
About
Nicolas Baumann is a leading researcher in autonomous systems, specializing in high-speed robotics, autonomous racing, and intelligent driving technologies. His work bridges the gap between theoretical control systems and real-world deployment, with a particular focus on scalable, robust solutions for dynamic environments. Baumann’s most impactful contribution is the "ForzaETH Race Stack," a fully autonomous head-to-head racing system demonstrated on commercial off-the-shelf hardware, which has garnered 19 citations since 2024 for its practical approach to high-speed autonomy. He further advanced competitive racing with "Predictive Spliner," a data-driven overtaking planner that uses Gaussian Process regression to anticipate opponent trajectories, enabling safer and more strategic maneuvers. Baumann has also explored the integration of large language models into autonomous driving systems to handle edge-case scenarios, addressing limitations of traditional supervised learning. Additionally, his work on event-based optical flow for planar velocity estimation offers a novel method for fast-moving robots, reducing reliance on wheel odometry and IMU fusion. With a growing citation impact and a focus on real-world applicability, Baumann is shaping the future of autonomous racing and intelligent driving systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4