I use machine learning to make autonomous vehicles perceive and understand their environment.
I am a Machine Learning Engineer in the Scene Understanding Group at Mercedes-Benz R&D. As a Product Owner, I am responsible for the Perception, Fusion, and Prediction for the next generation of highly automated vehicles.
Previously, I was a PhD student with the LiDAR Perception Group at Mercedes-Benz R&D and the Karlsruhe Institute of Technology (KIT), where I was advised by Prof. J. Marius Zöllner. My research is published under the title “LiDAR Domain Adaptation - Automotive 3D Scene Understanding”.
|Oct 9, 2023||Last week, I attended ICCV 2023 in Paris, France.|
|Jun 4, 2023||We held our workshop Autonomy@Scale at the IEEE Intelligent Vehicles Symposium in Anchorage, Alaska, USA|
|May 9, 2023||Today I was invited as a speaker to a panel discussion at the kick-off event of the Leadership Talent Lab at the KIT|
|Apr 1, 2023||The Instagram channel of the Mercedes-Benz AG interviewed me about my work. You can check out the post here.|
|Mar 2, 2023||I attended the kick-off of the new publicly funded research project “Solutions and Technologies for Automated Driving in Town”, where I lead one of the work packages. The project is centered around the development and demonstration of new AI-based methods in autonomous driving systems.|
A Realism Metric for Generated LiDAR Point CloudsInternational Journal of Computer Vision (IJCV), 2022
Point Cloud Generation with Continuous ConditioningIn Conference on Artificial Intelligence and Statistics (AISTATS), 2022
A Survey on Deep Domain Adaptation for LiDAR PerceptionIn Proc. IEEE Intelligent Vehicles Symposium (IV) Workshops, 2021