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|Email=zipfl@fzi.de
 
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Maximilian Zipfl studied electrical engineering and information technology at Karlsruhe University of Applied Sciences until 2019. During his master's studies, he dealt with the theoretical fundamentals of sensor technology
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Since August 2019, Maximilian Zipfl has been working as a research assistant at the [https://www.fzi.de/team/maximilian-zipfl/ FZI Research Center for Information Technology] in the TKS department.<br>
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His research activities focus on the validation of autonomous driving. He is investigating the description of traffic scenes and traffic scenarios with regard to the context-related behavior of traffic participants.
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|Info EN=<br>
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Maximilian Zipfl studied electrical engineering and information technology at Karlsruhe University of Applied Sciences until 2019. During his master's studies, he dealt with the theoretical fundamentals of sensor technology
 +
Since August 2019, Maximilian Zipfl has been working as a research assistant at the [https://www.fzi.de/team/maximilian-zipfl/ FZI Research Center for Information Technology] in the TKS department.<br>
 +
His research activities focus on the validation of autonomous driving. He is investigating the description of traffic scenes and traffic scenarios with regard to the context-related behavior of traffic participants.
 
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Version vom 19. Oktober 2022, 14:37 Uhr

2020-02-27 FO Zipfl Maximilian 003 LQ.jpg


Maximilian Zipfl studied electrical engineering and information technology at Karlsruhe University of Applied Sciences until 2019. During his master's studies, he dealt with the theoretical fundamentals of sensor technology Since August 2019, Maximilian Zipfl has been working as a research assistant at the FZI Research Center for Information Technology in the TKS department.
His research activities focus on the validation of autonomous driving. He is investigating the description of traffic scenes and traffic scenarios with regard to the context-related behavior of traffic participants.









Forschungsgebiete
Maschinelles Lernen, Graphentheorie