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<li>[https://scholar.google.com/citations?user=epFVqnIAAAAJ&hl=en Google Scholar]</li>
 
<li>[https://scholar.google.com/citations?user=epFVqnIAAAAJ&hl=en Google Scholar]</li>
 
<li>[https://www.semanticscholar.org/author/Daniel-Bogdoll/73381787 Semantic Scholar]</li>
 
<li>[https://www.semanticscholar.org/author/Daniel-Bogdoll/73381787 Semantic Scholar]</li>
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<li>[https://github.com/daniel-bogdoll/phd GitHub]</li>
 
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<li>[https://scholar.google.com/citations?user=epFVqnIAAAAJ&hl=en Google Scholar]</li>
 
<li>[https://scholar.google.com/citations?user=epFVqnIAAAAJ&hl=en Google Scholar]</li>
 
<li>[https://www.semanticscholar.org/author/Daniel-Bogdoll/73381787 Semantic Scholar]</li>
 
<li>[https://www.semanticscholar.org/author/Daniel-Bogdoll/73381787 Semantic Scholar]</li>
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<li>[https://github.com/daniel-bogdoll/phd GitHub]</li>
 
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Version vom 1. September 2022, 12:55 Uhr

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Hello, let me introduce myself :) I studied Computational Engineering Science at RWTH Aachen University from 2011 to 2019 with a focus on Machine Learning. In my theses, I worked on A*-based trajectory planning and LCSS-based route matching. In 2017, I completed a research stay in Silicon Valley in the area of sensor data augmentation. Subsequently, in 2018, I founded the shared mobility startup SAYM.

Since November 2020, I am a research associate at the FZI Research Center for Information Technology in the Technical Cognitive Systems (TKS) department and a PhD student at AIFB. My focus is on corner-case detection for autonomous vehicles. I am also deeply interested in the societal implications of autonomous vehicles in the (near) future.

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Forschungsgebiete
Deep Learning, Anomaly Detection