Picture of Edmond Irani Liu

Edmond Irani Liu, M.Sc.

Technical University of Munich

Informatics 6 - Associate Professorship of Cyber Physical Systems (Prof. Althoff)

Postal address

Boltzmannstr. 3
85748 Garching b. München

Curriculum Vitae

Edmond Irani Liu joined the Cyber-Physical Systems Group in 2019 as a Research Assistant and Ph.D. student under the supervision of Prof. Dr.-Ing. Matthias Althoff. In 2015 and 2018, he received his bachelor's degree in Automation and master's degree in Control Science and Engineering, both from Shanghai Jiao Tong University, respectively.

His current research focuses on traffic-rule-compliant motion planning and cooperative driving with safety guarantee. He is a participant in the project Cooperative and Intrinsically-Correct Control of Vehicles in Diverse Environments (CoInCIDE) within the Priority Program Cooperatively Interacting Automobiles (SPP1835), funded by the German Research Foundation (DFG); He is also a participant in the Huawei-TUM collaboration project Research on Key Technologies of Safety Assurance for Autonomous Vehicles.

Offered Thesis Topics

I am always looking for self-motivated students to solve interesting problems arising in my research areas. If you are interested in one of the currently available topics, simply send me a mail (with title "Bachelor / Master Thesis Application - Your Name") with your up-to-date CV and transcript of records attached.

Currently Available:

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Teaching Experience

  • Practical course - Motion Planning for Autonomous Vehicles (since WS2019)
    • Developing a Motion Planning Library for Automated Vehicles
    • Developing a Toolbox for Computing the Reachable Sets of Automated Vehicles
    • Developing a Toolbox for Computing the Invariably Safe Sets of Automated Vehicles
    • Driving Virtually from Garching to IAA
    • Formation of Cooperative Groups for Automated Vehicles via Set-based Prediction
    • Improving a Graph Search-Based Motion Planning Algorithm
    • CommonRoad Interactive Benchmark Generation
    • Developing a Hierarchical A* Motion Planning Algorithm
  • Seminar course - Cyber-Physical Systems (since WS2019)
    • Cooperative Driving of Automated Vehicles
    • Motion Planning with Temporal Logic Specifications
    • Safe and Efficient Cooperation Strategies at Intersections
  • Lecture - Foundations of Artificial Intelligence (since WS2019)



  • Irani Liu, Edmond; Würsching, Gerald; Klischat Moritz; Althoff, Matthias: CommonRoad-Reach: A Toolbox for Reachability Analysis of Automated Vehicles. IEEE International Conference on Intelligent Transportation Systems (ITSC), 2022 mehr… Volltext (mediaTUM)


  • Irani Liu, Edmond; Althoff, Matthias: Computing Specification-Compliant Reachable Sets for Motion Planning of Automated Vehicles. 2021 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2021, 1037-1044 mehr… Volltext ( DOI ) Volltext (mediaTUM)


  • Irani Liu, Edmond; Pek, Christian; Althoff, Matthias: Provably-Safe Cooperative Driving via Invariably Safe Sets. 2020 IEEE Intelligent Vehicles Symposium (IV), IEEE, 2020, 516-523 mehr… Volltext ( DOI ) Volltext (mediaTUM)
  • Klischat, Moritz; Irani Liu, Edmond; Höltke, Fabian; Althoff, Matthias: Scenario Factory: Creating Safety-Critical Traffic Scenarios for Automated Vehicles. 2020 IEEE International Conference on Intelligent Transportation Systems (ITSC), 2020 mehr… Volltext ( DOI ) Volltext (mediaTUM)


  • Irani Liu, Edmond; Wang, Jingchuan; Chen, Weidong: A Localizability Constraint-Based Path Planning Method for Autonomous Vehicles. IEEE Transactions on Intelligent Transportation Systems 20 (7), 2019, 2593-2604 mehr… Volltext ( DOI )


  • Irani Liu, Edmond; Chen, Weidong; Wang, Jingchuan: A Localizability Constraint-Based Path Planning Method for Unmanned Aerial Vehicle. In: Intelligent Autonomous Systems 15. Springer International Publishing, 2018 mehr… Volltext ( DOI )

Useful Software and Websites for Research

A collection of useful material for research can be found here.

Last updated: 10.10.2022