- Work package leader in the UNICARagil research project for generic sensor modules for environment detection in the field of highly automated driving- Research on automated calibration of sensors like camera, lidar, or radar

Motion Classification and Height Estimation of Pedestrians Using Sparse Radar Dara

- Developed a monitoring and evaluation framework for the performance evaluation of the sensor fusion system in the autonomous vehicles- Designed and implemented the data pipeline to import the recordings and the methods to evaluate the performance based on a set of key performance indicators- Implemented tools for the data visualization as graphs and as videos as well as a web interface for easy access to the system and the evaluation results

- Group Research & Development, Environment Perception- Worked on radar-based self-localization in parking garages- Developed, implemented and evaluated algorithms in Matlab and C++- Set up the build-environment with CMake- Implemented the module for testing the algorithms in ADTF on the experimental vehicle

- Worked on detection and classification of lane markings- Implemented, trained and evaluated a classifier for different lane marking types in Matlab and C++