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”.


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.
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.

selected publications

  1. A Realism Metric for Generated LiDAR Point Clouds
    Larissa T. Triess, Christoph B. RistDavid Peter, and 1 more author
    International Journal of Computer Vision (IJCV), 2022
  2. Point Cloud Generation with Continuous Conditioning
    Larissa T. Triess, Andre Bühler, David Peter, and 2 more authors
    In Conference on Artificial Intelligence and Statistics (AISTATS), 2022
  3. A Survey on Deep Domain Adaptation for LiDAR Perception
    Larissa T. Triess, Mariella DreissigChristoph B. Rist, and 1 more author
    In Proc. IEEE Intelligent Vehicles Symposium (IV) Workshops, 2021