Lars Töttel (M.Sc.)
Wissenschaftlicher Mitarbeiter
Werdegang
Lars Töttel studierte bis 2019 Elektrotechnik und Informationstechnik an der Dualen Hochschule Baden-Württemberg (DHBW) Mannheim sowie am Karlsruher Institut für Technologie (KIT). Seine Schwerpunkte während des Masterstudiums lagen in der Automatisierungstechnik und Informationsverarbeitung. Seine Masterarbeit "Predictive Trajectory Planning in Situations with Occluded Road Users Using POMDPs" führte er in der Abteilung Technisch Kognitive Systeme (TKS) durch.
Seit August 2019 ist Lars Töttel als wissenschaftlicher Mitarbeiter am FZI Forschungszentrum Informatik in der Abteilung TKS tätig.
Publikationen
Konferenzbeitrag (2)
- Pushing ROS towards the Dark Side: A ROS-based Co-Simulation Architecture for Mixed-Reality Test Systems for Autonomous VehiclesInfoDetails
M. R. Zofka and L. Töttel and M. Zipfl and M. Heinrich and T. Fleck and P. Schulz and J. M. Zöllner, 2020
Validation and verification of autonomous vehicles is still an unsolved problem. Although virtual approaches promise a cost efficient and reproducible solution, a most comprehensive and realistic representation of the real world traffic domain is required in order to make valuable statements about the performance of a highly automated driving (HAD) function. Models from different domain experts offer a repository of such representations. However, these models must be linked together for an extensive and uniform mapping of real world traffic domain for HAD performance assessment.Hereby, we propose the concept of a co-simulation architecture built upon the Robot Operating System (ROS) for both coupling and for integration of different domain expert models, immersion and stimulation of real pedestrians as well as AD systems into a common test system. This enables a unified way of generating ground truth for the performance assessment of multi-sensorial AD systems. We demonstrate the applicability of the ROS powered co-simulation by coupling behavior models in our mixed reality environment.
- Predictive Trajectory Planning in Situations with Hidden Road Users Using Partially Observable Markov Decision ProcessesDetails
Philip Schörner, Lars Töttel, Jens Doll and J. Marius Zöllner, 2019
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Kontakt
Telefon: +49 721 9654-376
E-Mail: toettel@fzi.de- Pushing ROS towards the Dark Side: A ROS-based Co-Simulation Architecture for Mixed-Reality Test Systems for Autonomous VehiclesInfoDetails