M.Sc. Tobias Fleck
Wissenschaftlicher Mitarbeiter
Werdegang
Tobias Fleck studierte bis 2016 Informatik am Karlsruher Institut für Technologie (KIT). Während seines Masterstudiums beschäftigte er sich mit Kognitiven Systemen, insbesondere probabilistische Schätz- und Modellierungsmethoden bildeten seine Schwerpunkte.
Seine Masterarbeit "Trajectory Estimation and Prediction in the Context of Autonomous Driving" führte er in der Abteilung Technisch Kognitive Systeme (TKS) durch.
Seit Februar 2017 ist Tobias Fleck als wissenschaftlicher Mitarbeiter am Forschungszentrum Informatik (FZI) in der Abteilung TKS tätig.
Publikationen
Konferenzbeitrag (3)
- Benchmarking and Functional Decomposition of Automotive Lidar Sensor ModelsInfoDetails
Philipp Rosenberger, Martin Holder, Sebastian Huch, Hermann Winner, Tobias Fleck, Marc René Zofka, J. Marius Zöllner, Thomas D’hondt and Benjamin Wassermann, 2019
Simulation-based testing is seen as a major re- quirement for the safety validation of highly automated driving. One crucial part of such test architectures are models of environment perception sensors such as camera, lidar and radar sensors. Currently, an objective evaluation and the comparison of different modeling approaches for automotive lidar sensors are still a challenge. In this work, a real lidar sensor system used for object recognition is first functionally decomposed. The resulting sequence of processing blocks and interfaces is then mapped onto simulation methods. Subsequently, metrics applied to the aforementioned interfaces are derived, enabling a quantitative comparison between simulated and real sensor data at different steps of the processing pipeline. Benchmarks for several existing sensor models at a concrete selected interface are performed using those metrics by comparing them to measurements gained from the real sensor. Finally, we outline how metrics on low-level interfaces can correlate with results on more abstract ones. A major achievement of this work lies within the commonly accepted interfaces and a common understanding of real and virtual lidar sensor systems and, even more important, an initial guideline for the quantitative comparison of sensor models with the ambition to support future validation of virtual sensor models.
- The sleepwalker framework: Verification and validation of autonomous vehicles by mixed reality LiDAR stimulationDetails
M. R. Zofka and M. Essinger and T. Fleck and R. Kohlhaas and J. M. Zöllner, 2018
- Towards Large Scale Urban Traffic Reference Data: Smart Infrastructure in the Test Area Autonomous Driving Baden-WuerttembergDetails
Tobias Fleck, Karam Daaboul, Michael Weber, Philip Schoerner, Marek Wehmer, Jens Doll, Stefan Orf, Nico Sußmann, Christian Hubschneider, Marc Rene Zofka, Florian Kuhnt, Ralf Kohlhaas, Ingmar Baumgart, Raoul Zoellner and J. Ma, 2018
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Kontakt
Telefon: +49 721 9654-216
E-Mail: Tobias.Fleck@ fzi.de- Benchmarking and Functional Decomposition of Automotive Lidar Sensor ModelsInfoDetails