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”.


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.

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