Eivind Meyer joined the Cyber-Physical Systems Group in 2021 as a research assistant and Ph.D. student under the supervision of Prof. Dr.-Ing. Matthias Althoff. Previously, he received his Master's degree in Cybernetics and Robotics from the Norwegian University of Science and Technology with the thesis "On Course Towards Model-Free Guidance" about reinforcement learning-based autonomous vessel guidance.
His research at TUM revolves around deep learning-based autonomous driving, with a special focus on graph-based state representations.
Offered Thesis Topics
My research is particularly focused on the adoption of graph neural networks for autonoumous driving. Within this domain, there are multiple candidate topics that I can offer to interested master or bachelor students. In general, feel free to contact me by email if you are interested in any of the currently available topics or have specific ideas for potential research directions yourself (please attach your grades and a resume).
All the topics would leverage CommonRoad-Geometric, our Python framework for enabling GNN-based autonomous driving research (for which we also offer HiWi positions to interested students).
The topics listed below are generally available; however, the proposals might be outdated - please reach out to clarify the research direction.