Larissa T. Triess
Machine Learning | Autonomous Driving | Computer Vision
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”.
news
| 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. |
| Feb 10, 2023 | I got nominated for the AI Newcomer Award of the German Informatics Society and am now in the top three of my category. You can support me by voting here. |
| Feb 5, 2023 | Our PhD students can now publish their research code. I created a list on GitHub for all paper related source code in our automated driving department. |
selected publications
-
A Realism Metric for Generated LiDAR Point CloudsInternational Journal of Computer Vision (IJCV), 2022
