Daniel Bogdoll (M.Sc.)



Daniel Bogdoll studied Computational Engineering Science at RWTH Aachen University from 2011 to 2019 with a focus on Machine Learning. In his theses, he worked on A*-based trajectory planning and LCSS-based route matching. In 2017, he completed a research stay in Silicon Valley in the area of sensor data augmentation. In 2018, he founded a shared mobility startup.

Since November 2020, Daniel Bogdoll has been a research associate at the FZI Research Center for Information Technology in the Technical Cognitive Systems (TKS) department. His research focuses on corner-case detection and handling for autonomous vehicles.


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E-Mail: bogdoll@dont-want-spam.fzi.de