Foto von Yuanfei Lin

Yuanfei Lin, M.Sc.

Technische Universität München

Dienstort

Informatik 6 - Professur für Cyber Physical Systems (Prof. Althoff)

Work:
Boltzmannstr. 3(5607)/III
85748 Garching b. München


Curriculum Vitae

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.

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. If you are interested in one of the currently available topics, simply send me a mail with a short statement about your motivation, an up-to-date CV, and transcript of records attached.

Currently Available:

Ongoing:

Finished:


Teaching

Practical Course – Motion Planning for Autonomous Vehicles [WiSe 21/22, SoSe 22, WiSe 22/23]

  • Quantitative Traffic Rule Monitor for Autonomous Driving (co-supervised with Luis Gressenbuch and Patrick Halder)
  • Motion Planning for Autonomous Vehicles using Model Predictive Control (co-supervised with Gerald Würsching)
  • Coupling Autoware.Auto With the CommonRoad Motion Planning Framework (co-supervised with Gerald Würsching)
  • Implementation of an Mixed-Integer-Programming-based Motion Planner (co-supervised with Gerald Würsching)
  • Robustify the Motion Planner: German Intersections (co-supervised with Luis Gressenbuch)
  • Reliable-by-Repair: Trajectory Repairing for Autonomous Vehicles
  • Open-The-World: Automatic Conversion of Scenarios from OpenSCENARIO to CommonROAD

Seminar – Cyber-Physical Systems [WiSe 21/22, SoSe 22]

  • Trajectory Repairing for Autonomous Mobile Robots
  • Trajectory Repairing for Autonomous Vehicles
  • Gaussian Process and its Application to Motion Planning and Control
  • Motion Planning with Rule Specifications (co-supervised with Patrick Halder)
  • Motion Planning with STL Constraints (co-supervised with Patrick Halder)

Publications

2022

2021


Last updated: Nov 25 2022