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|Hinweis EN='''FZI Research Center for Information Technology'''<br />Haid-und-Neu-Straße 10-14<br />76131 Karlsruhe
 
|Hinweis EN='''FZI Research Center for Information Technology'''<br />Haid-und-Neu-Straße 10-14<br />76131 Karlsruhe
 
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|Info=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 [https://www.linear.eu/de/saym/ SAYM].
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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 [https://www.linear.eu/de/saym/ SAYM].
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Since November 2020, I am a research associate at the [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/daniel-bogdoll 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.
 
Since November 2020, I am a research associate at the [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/daniel-bogdoll 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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I maintain the open-source projects [https://ad-datasets.com/ ad-datasets] and [https://ad-deadlines.com/ ad-deadlines], which provide overviews of datasets and conferences in the field of autonomous driving.
 
I maintain the open-source projects [https://ad-datasets.com/ ad-datasets] and [https://ad-deadlines.com/ ad-deadlines], which provide overviews of datasets and conferences in the field of autonomous driving.
 
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=== Open Positions & Theses ===
 
=== Open Positions & Theses ===
  
 
=== Publications ===
 
=== Publications ===
  
[https://scholar.google.com/citations?user=epFVqnIAAAAJ&hl=en Google Scholar]
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<list>
[https://www.semanticscholar.org/author/Daniel-Bogdoll/73381787 Semantic Scholar]
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<item>[https://scholar.google.com/citations?user=epFVqnIAAAAJ&hl=en Google Scholar]</item>
 
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<item>[https://www.semanticscholar.org/author/Daniel-Bogdoll/73381787 Semantic Scholar]</item>
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</list>
 
=== Let's connect ===
 
=== Let's connect ===
  

Version vom 1. September 2022, 12:42 Uhr

Daniel 8 Square.png


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.
I maintain the open-source projects ad-datasets and ad-deadlines, which provide overviews of datasets and conferences in the field of autonomous driving.

Open Positions & Theses

Publications

<list> <item>Google Scholar</item> <item>Semantic Scholar</item> </list>

Let's connect

LinkedIn GitHub









Forschungsgebiete
Deep Learning, Anomaly Detection