Yuanfei Lin joined the Cyber Physical Systems Group as a PhD candidate under the supervision of Prof. Dr.-Ing. Matthias Althoff in 2021. He graduated with the Master of Science degree in Mechanical Engineering from the Technical University of Munich, Germany, in 2020. He received the Bachelor of Engineering degree in Automotive Engineering from the Tongji University, Shanghai, China, in 2018. During the period from August 2023 to February 2024, he was a visiting research scholar at the University of California, Berkeley, working with Prof. Masayoshi Tomizuka.
His research focuses on safe motion planning for autonomous vehicles, safe cooperative motion planning, and formal methods. More information can be found in his personal page.
Offered Thesis Topics
I am always looking for self-motivated students to solve interesting problems arising in my research areas. General ideas could be to apply formal methods and machine learning technologies to motion planning algorithms for autonomous vehicles to increase their safety, liability, and efficiency.
Please note: I will not be able to supervise further theses. However, if you are interested in collaborating on exciting research, feel free to reach out to me.
Lin, Yuanfei; Li, Chenran; Ding, Mingyu; Tomizuka, Masayoshi; Zhan, Wei; Althoff, Matthias: DrPlanner: Diagnosis and Repair of Motion Planners for Automated Vehicles Using Large Language Models. IEEE Robotics and Automation Letters 9 (10), 2024, 8218-8225 more…BibTeX
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Würsching, Gerald; Mascetta, Tobias; Lin, Yuanfei; Althoff, Matthias: Simplifying Sim-to-Real Transfer in Autonomous Driving: Coupling Autoware with the CommonRoad Motion Planning Framework. 2024 IEEE Intelligent Vehicles Symposium (IV), 2024 more…BibTeX
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Youran Wang, Yuanfei Lin, and Matthias Althoff: Interaction-Aware Trajectory Repair in Compliance with Formalized Traffic Rules. The 27th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2024), 2024 more…BibTeX
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2023
Lin, Yuanfei; Althoff, Matthias: CommonRoad-CriMe: A Toolbox for Criticality Measures of Autonomous Vehicles. 2023 IEEE Intelligent Vehicles Symposium (IV), 2023, 1-8 more…BibTeX
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Lin, Yuanfei; Li, Haoxuan; Althoff, Matthias: Model Predictive Robustness of Signal Temporal Logic Predicates. IEEE Robotics and Automation Letters 08 (12), 2023, 8050 - 8057 more…BibTeX
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Lin, Yuanfei; Ratzel, Michael; Althoff, Matthias: Automatic Traffic Scenario Conversion from OpenSCENARIO to CommonRoad. 2023 IEEE International Conference on Intelligent Transportation Systems (ITSC), 2023, 4941-4946 more…BibTeX
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2022
Lin, Yuanfei; Althoff, Matthias: Rule-Compliant Trajectory Repairing using Satisfiability Modulo Theories. 2022 IEEE Intelligent Vehicles Symposium (IV), 2022, 449-456 more…BibTeX
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2021
Lin, Yuanfei; Maierhofer, Sebastian; Althoff, Matthias: Sampling-Based Trajectory Repairing for Autonomous Vehicles. 2021 IEEE International Conference on Intelligent Transportation Systems (ITSC) , 2021, 572-579 more…BibTeX
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