Yuanfei Lin

Hello! I am currently working toward the Ph.D. degree in the Cyber Physical Systems group, School of Computation, Information and Technology , Technical University of Munich. Prior to that, I graduated with the double Master degree in Mechanical Engineering and Mechatronics and Robotics both with high distinction from the same university in 2020. I received the Bachelor degree in Automotive Engineering with Excellent Graduate honor from Tongji University in 2018.

Email / TUM Page / CV / Google Scholar / LinkedIn / Github

Research Interests

I'm broadly interested in applying formal methods and machine learning technologies to motion planning algorithms for autonomous vehicles to increase their safety, liability, and efficiency.

	Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with the CommonRoad Motion Planning Framework Gerald Würsching, Tobias Mascetta, Yuanfei Lin, Matthias Althoff. IV, 2024 BibTex / VollText / Video The first publicly available interface between CommonRoad and Autoware.
	DrPlanner 🩺: Diagnosis and Repair of Motion Planners Using Large Language Models Yuanfei Lin, Chenran Li, Mingyu Ding, Masayoshi Tomizuka, Wei Zhan, Matthias Althoff. ArXiv, 2024 Project Page / VollText / Video Leveraging the profound capabilities of large language models in addressing reasoning challenges, we returns repaired planners with detailed diagnostic descriptions.
	Model Predictive Robustness of Signal Temporal Logic Predicates Yuanfei Lin, Haoxuan Li, Matthias Althoff. RA-L, 2023 BibTex / VollText / Video A novel approach to determine the robustness of signal temporal logic predicates, where the model capability for rule compliance is explicitly considered.
	Automatic Traffic Scenario Conversion from OpenSCENARIO to CommonRoad Yuanfei Lin, Michael Ratzel, Matthias Althoff. ITSC, 2023 BibTex / VollText / Poster / Presentation / Tool Page The first openly accessible converter from OpenSCENARIO to CommonRoad.
	CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles Yuanfei Lin, Matthias Althoff. IV, 2023 BibTex / VollText / Poster / Tool Page An open-source toolbox for measuring the criticality of autonomous vehicles in a unified framework.
	Rule-Compliant Trajectory Repairing using Satisfiability Modulo Theories Yuanfei Lin, Matthias Althoff. IV, 2022 BibTex / VollText / Video / Poster The first work to repair trajectories violating traffic rules formalized in temporal logic.
	Sampling-Based Trajectory Repairing for Autonomous Vehicles Yuanfei Lin, Sebastian Maierhofer, Matthias Althoff. ITSC, 2021 BibTex / VollText / Video As replanning would be computationally expensive, we present a novel approach for repairing invalid trajectorie.