Please review my recent publications and the webpage of our Institute for Intelligent Systems (IIS).
Intelligent Robotics
My current research centers on machine learning-based multi-sensor scene understanding and action planning for intelligent robotic systems operating in complex, structured and unstructured outdoor environments. I primarily focus on the integration of camera and LiDAR data for robust perception and decision-making, with applications in autonomous driving and mobile robotics.
Pedestrian Recognition
The main research during my PhD involved statistical models of pedestrian shape and appearance with an application to on-board pedestrian detection for intelligent vehicles. Rather than deriving an explicit model of human appearance, we follow a pattern classification approach, where appropriate models are implicitly learned from a large number of training examples.
This research and corresponding implementation is main foundation of the Daimler vision-based pedestrian detection system which is available in most Mercedes-Benz car models from 2012 onwards.
Research Projects as Principal Investigator
| ADRIVE-GPT – Autonomous Driving with Pre-Trained Generative Transformers | 2025-2029 |
| DFG Research Impulse – Smart Factory Grids | 2024-2029 |
| HE-Personal – Cluster Autonomous Systems | 2021-2027 |
| Several industry projects with private funding | since 2021 |