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Korbinian Moller

Combining learning-based methods and classical algorithms for safe autonomous driving.

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About me

Hello and welcome to my personal website – thanks for stopping by! The page is currently still a work in progress, and I will gradually add more content and projects over time.

I am a PhD researcher at the Technical University of Munich (TUM) working on motion planning and safety for autonomous vehicles. My research focuses on developing efficient planning algorithms that combine classical methods with learning-based approaches while ensuring safety and real-time capability. I am particularly interested in safe decision-making, real-time systems, and scalable planning architectures for autonomous driving.

On this page you can find my publications, open-source projects, and links to my professional profiles.

Publications Projects Talks, Teaching & More GitHub Google Scholar ORCID

Publications

The publications listed below present research carried out over the past years in collaboration with project partners and with the valuable support of students whose theses I had the opportunity to supervise.

Projects

This section provides links to open-source projects developed as part of research papers or personal side projects.

Talks, Teaching & More

This section highlights invited talks, conference presentations, teaching activities, and media coverage.