ML

M. Sc. Markus Lemmer

  • FZI Forschungszentrum Informatik
    Embedded Systems and Sensors Engineering (ESS)
    Haid-und-Neu Str. 10-14
    76131 Karlsruhe

Curriculum Vitae

Markus Lemmer studied electical engineering and information technology at the Karlsruher Institut of Technologiy (KIT). During his studies in the field of control engineering he focused on the control of electrical drives. Practical work in the pre-development sector oft he Siemens AG. He concluded his studies with his master thesis "Design and Analysis of Discrete-Time Linear-Quadratic Two-Player Tracking" at the Institut of Control Systems (IRS).

Since October 2018 he works as a research scientist at the FZI Research Center for Information Technology of Karlsruhe Institute of Technology (KIT) in the area of embedded systems and sensors engineering (ESS).

Research

Development of driver models for intersection scenarios

A major challenge in the development process of highly-automated vehicles is the validation task. While traditional vehicles are validated using test drives, this is not practicable or economical for highly-automated driving functions due to the increased testing efforts.

An alternative in the validation process is the usage of simulation. Key components of such a simulation environment are simulation models, representing the interactive behaviour between drives and other traffic participants.

Therefore a game theoretic model, representing the interactive behaviour of human drivers in an inner urban junction scenario shall be developed.

Teaching

Open Theses
Title Type

Publications


2022
Identification of a Game-Theoretic Driver Decision Making Model using a Bi-Level Approach
Lemmer, M.; Schwab, S.; Hohmann, S.
2022. 2022 IEEE Conference on Control Technology and Applications (CCTA), 857–862, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA49430.2022.9966194
2021
Maneuver Based Modeling of Driver Decision Making using Game-Theoretic Planning
Lemmer, M.; Shu, J.; Schwab, S.; Hohmann, S.
2021. 2021 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Melbourne, Australia, 17-20 Oct. 2021, 1332–1338, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC52423.2021.9658771
Modeling Multi-Driver Interaction in Intersection Scenarios Based on a Hybrid Game Approach
Lemmer, M.; Schwab, S.; Hohmann, S.
2021. IEEE Conference on Control Technology and Applications (CCTA), San Diego, CA, USA, 9-11 Aug. 2021, 416–423, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA48906.2021.9658588
Ordinal Potential Differential Games to Model Human-Machine Interaction in Vehicle-Manipulators
Varga, B.; Inga, J.; Lemmer, M.; Hohmann, S.
2021. Proceedings of the IEEE CCTA 2021 : 5th IEEE Conference on Control Technology and Applications, 728–734, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/CCTA48906.2021.9658788
2020
Driver Interaction at Intersections: A Hybrid Dynamic Game Based Model
Lemmer, M.; Schwab, S.; Hohmann, S.
2020. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2269–2276, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC42975.2020.9283079
Limited-Information Cooperative Shared Control for Vehicle-Manipulators
Varga, B.; Shahirpour, A.; Lemmer, M.; Schwab, S.; Hohmann, S.
2020. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada, October 11–14, 2020., Art.-Nr. 09283367, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/SMC42975.2020.9283367
2018
Modeling of Human-Centered Cooperative Control by Means of Tracking in Discrete Time Linear Quadratic Differential Games
Lemmer, M.; Köpf, F.; Schwab, S.; Flad, M.; Hohmann, S.
2018. 1st IEEE International Conference on Artificial Intelligence and Knowledge Engineering, AIKE 2018; Laguna Hills; United States; 26 September 2018 through 28 September 2018, 156–161, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/AIKE.2018.00034