- π I focus on developing, simulating and verifying planning algorithms for autonomous driving
- π’ I'm currently working at BMW Group
- π I have a Ph.D. in computer science from the Technical University of Munich π
- π I have a diploma in mechatronics engineering from the Technical University Dresden π
- βοΈ I use daily: C++
- MONA: The Munich Motion Dataset of Natural Driving (ITSC 2022)
- Mixed-Integer Motion Planning on German Roads within the Apollo Driving Stack (Transactions on Intelligent Vehicles 2022)
- BARK: Open Behavior Benchmarking in Multi-Agent Environments (IROS 2020)
- Formalizing Traffic Rules for Machine Interpretability (CAVS 2020)
- Modeling and Testing Multi-Agent Traffic Rules within Interactive Behavior Planning (IROS 2020, PLC Workshop)
- Optimal Behavior Planning for Autonomous Driving: A Generic Mixed-Integer Formulation (IV 2020)
- Linear Differential Games for Cooperative Behavior Planning of Autonomous Vehicles Using Mixed-Integer Programming (CDC 2020)
- From Specifications to Behavior: Maneuver Verification in a Semantic State Space (IV 2019)
- Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving (IV 2019)
- Spatiotemporal Motion Planning with Combinatorial Reasoning for Autonomous Driving (ITSC 2018)
- Roadgraph Generation and Free-Space Estimation in Unknown Structured Environments for Autonomous Vehicle Motion Planning (IV 2018)
- Experience-Based Heuristic Search: Robust Motion Planning with Deep Q-Learning (IV 2018)