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|Bild=Daniel_8_Square.png
 
|Bild=Daniel_8_Square.png
 
|Info=<br><br>
 
|Info=<br><br>
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'm Daniel and 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 the Silicon Valley in the area of sensor data augmentation. Subsequently, in 2018, I founded the shared mobility startup [https://www.crunchbase.com/organization/saym SAYM].
 
<br><br>
 
<br><br>
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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Since November 2020, I am a research scientist 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 anomaly detection for autonomous vehicles. I am also deeply interested in the societal implications of autonomous vehicles in the (near) future.  
 
<br><br>
 
<br><br>
 
=== Open Bachelor/Master Theses ===
 
<ol>
 
<li>[https://aifb.kit.edu/web/Thema4944 Deep Learning World Models with Latent States for Autonomous Driving][https://aifb.kit.edu/images/5/5b/2022_09_World_Models.pdf (PDF)]</li>
 
</ol>
 
  
 
=== Publications ===
 
=== Publications ===
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<li>[https://github.com/daniel-bogdoll/phd GitHub]</li>
 
<li>[https://github.com/daniel-bogdoll/phd GitHub]</li>
 
</ul>
 
</ul>
 
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<br>
 
=== Open Source ===
 
=== Open Source ===
 
<ul>
 
<ul>
Zeile 34: Zeile 29:
 
<li>[https://github.com/daniel-bogdoll/ConferenceTemplate LaTeX template for IEEE and arXiv publications]</li>
 
<li>[https://github.com/daniel-bogdoll/ConferenceTemplate LaTeX template for IEEE and arXiv publications]</li>
 
</ul>
 
</ul>
 
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<br>
 
=== Let's connect ===
 
=== Let's connect ===
 
<ul>
 
<ul>
 +
<li>[https://danielbogdoll.com/ Homepage]</li>
 
<li>[https://www.linkedin.com/in/danielbogdoll/ LinkedIn]</li>
 
<li>[https://www.linkedin.com/in/danielbogdoll/ LinkedIn]</li>
 
<li>[https://github.com/daniel-bogdoll GitHub]</li>
 
<li>[https://github.com/daniel-bogdoll GitHub]</li>
 
</ul>
 
</ul>
 
|Info EN=<br><br>
 
|Info EN=<br><br>
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].
+
Hello, let me introduce myself :) I'm Daniel and 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 the Silicon Valley in the area of sensor data augmentation. Subsequently, in 2018, I founded the shared mobility startup [https://www.crunchbase.com/organization/saym SAYM].
 
<br><br>
 
<br><br>
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 scientist 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 anomaly detection for autonomous vehicles. I am also deeply interested in the societal implications of autonomous vehicles in the (near) future.  
 
<br><br>
 
<br><br>
 
=== Open Bachelor/Master Theses ===
 
<ol>
 
<li>[https://aifb.kit.edu/web/Thema4944 Deep Learning World Models with Latent States for Autonomous Driving][https://aifb.kit.edu/images/5/5b/2022_09_World_Models.pdf (PDF)]</li>
 
</ol>
 
 
 
=== Publications ===
 
=== Publications ===
 
<ul>
 
<ul>
Zeile 57: Zeile 47:
 
<li>[https://github.com/daniel-bogdoll/phd GitHub]</li>
 
<li>[https://github.com/daniel-bogdoll/phd GitHub]</li>
 
</ul>
 
</ul>
 
+
<br>
 
=== Open Source ===
 
=== Open Source ===
 
<ul>
 
<ul>
Zeile 64: Zeile 54:
 
<li>[https://github.com/daniel-bogdoll/ConferenceTemplate LaTeX template for IEEE and arXiv publications]</li>
 
<li>[https://github.com/daniel-bogdoll/ConferenceTemplate LaTeX template for IEEE and arXiv publications]</li>
 
</ul>
 
</ul>
 
+
<br>
 
=== Let's connect ===
 
=== Let's connect ===
 
<ul>
 
<ul>
 +
<li>[https://danielbogdoll.com/ Homepage]</li>
 
<li>[https://www.linkedin.com/in/danielbogdoll/ LinkedIn]</li>
 
<li>[https://www.linkedin.com/in/danielbogdoll/ LinkedIn]</li>
 
<li>[https://github.com/daniel-bogdoll GitHub]</li>
 
<li>[https://github.com/daniel-bogdoll GitHub]</li>
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|Vorträge anzeigen=Nein
 
|Vorträge anzeigen=Nein
 
|Organisation=AIFB, KIT
 
|Organisation=AIFB, KIT
|Abschlussarbeiten anzeigen=Ja
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|Abschlussarbeiten anzeigen=Nein
 
}}
 
}}
 
{{Forschungsgebiet Auswahl
 
{{Forschungsgebiet Auswahl
 
|Forschungsgebiet=Deep Learning
 
|Forschungsgebiet=Deep Learning
 
}}
 
}}
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{{Forschungsgebiet Auswahl
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|Forschungsgebiet=Anomaly Detection
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}}
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{{Forschungsgebiet Auswahl}}

Aktuelle Version vom 24. Januar 2024, 09:18 Uhr

Daniel 8 Square.png



Hello, let me introduce myself :) I'm Daniel and 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 the 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 scientist 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 anomaly detection for autonomous vehicles. I am also deeply interested in the societal implications of autonomous vehicles in the (near) future.

Publications


Open Source


Let's connect









Forschungsgebiete
Deep Learning, Anomaly Detection