Yuanfei Lin
Hi there! I'm a fourth-year PhD student at the Technical University of Munich under the supervision of Prof. Dr.-Ing Matthias Althoff, where I enjoy making safe autonomous driving possible. My research focuses on applying formal methods to autonomous systems to enable safe and reliable operation in complex and dynamic environments. Recently, I have become interested in combining large language models with motion planning techniques.
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.
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yuanfei dot lin at tum dot de
Interaction-Aware Trajectory Repair in Compliance with Formalized Traffic Rules
Youran Wang,
Yuanfei Lin,
Matthias Althoff.
ITSC, 2024
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We propose for the first time an interaction-aware trajectory repair algorithm based on game theory.
DrPlanner 🩺: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models
Yuanfei Lin,
Chenran Li,
Mingyu Ding,
Masayoshi Tomizuka,
Wei Zhan,
Matthias Althoff.
RA-L, 2024
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Leveraging the profound capabilities of large language models in addressing reasoning challenges, we returns repaired planners with detailed diagnostic descriptions.
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
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The first publicly available interface between CommonRoad and Autoware.
Model Predictive Robustness of Signal Temporal Logic Predicates
Yuanfei Lin*,
Haoxuan Li*,
Matthias Althoff.
RA-L, 2023 & ICRA, 2024
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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,
The first openly accessible converter from OpenSCENARIO to CommonRoad.
ITSC, 2023
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CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles
Yuanfei Lin,
Matthias Althoff.
IV, 2023
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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
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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
As replanning would be computationally expensive, we present a novel approach for repairing invalid trajectories.
2024
Shanghai Jiao Tong University, Department of Automation2023
IEEE IV 2023 Workshops: Social, interactive and safe behaviors for AVs: benchmarks, models and applications2022
Southeast University, School of Cyber Science and Engineering2024
Visiting Scholar, Mechanical Systems Control Lab, UC Berkeley2022+
Reviewer, RA-L, T-ITS, ICRA, CDC, ITSC, IV, IROS2020
Graduation Scholarship Awarded by TUM2019
German National Scholarship2018
Excellent Graduates of Shanghai, China2017
Tongji Scholarship of Excellence2016
National Scholarship in China2015
Shanghai Scholarship, China2014
National Scholarship in China