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|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 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.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 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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<br><br>
  
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=== Open Bachelor/Master Theses ===
 +
<ol>
 +
<li>[https://aifb.kit.edu/web/Thema4946 Deep Learning Anomaly Detection with Model Contradictions for Autonomous Driving][https://aifb.kit.edu/images/9/9b/2022_09_Model_Contradictions.pdf &nbsp;(PDF)]</li>
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<li>[https://aifb.kit.edu/web/Thema4945 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving][https://aifb.kit.edu/images/4/45/2022_09_Voxel_World.pdf &nbsp;(PDF)]</li>
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<li>[https://aifb.kit.edu/web/Thema4948 Benchmarking Anomaly Detection on Camera and Lidar Data with 3D Voxel Representation][https://aifb.kit.edu/images/4/4e/2022_09_Benchmark_AnomalyDetection.pdf &nbsp;(PDF)]</li>
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<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 &nbsp;(PDF)]</li>
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<li>[https://aifb.kit.edu/web/Thema4949 Anomaly Detection with World Models for Autonomous Driving][https://aifb.kit.edu/images/2/20/2022_09_AnomalyDec_WorldModels.pdf &nbsp;(PDF)]</li>
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<li>[https://aifb.kit.edu/web/Thema4947 Specialized Evaluation Metrics for Perception Tasks in Autonomous Driving][https://aifb.kit.edu/images/e/ea/2022_09_EvaluationMetrics.pdf &nbsp;(PDF)]</li>
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</ol>
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<br>
 +
If you are interested in a student position in one of these fields, just send me an e-mail with your CV, your grades, and two sentences, why you are interested in the position. No cover letter necessary :)
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<br><br>
 
=== Publications ===
 
=== Publications ===
 
<ul>
 
<ul>
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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>
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<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>
Zeile 36: Zeile 48:
 
</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 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.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 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.  
 
<br><br>
 
<br><br>
  
 +
=== Open Bachelor/Master Theses ===
 +
<ol>
 +
<li>[https://aifb.kit.edu/web/Thema4946 Deep Learning Anomaly Detection with Model Contradictions for Autonomous Driving][https://aifb.kit.edu/images/9/9b/2022_09_Model_Contradictions.pdf &nbsp;(PDF)]</li>
 +
<li>[https://aifb.kit.edu/web/Thema4945 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving][https://aifb.kit.edu/images/4/45/2022_09_Voxel_World.pdf &nbsp;(PDF)]</li>
 +
<li>[https://aifb.kit.edu/web/Thema4948 Benchmarking Anomaly Detection on Camera and Lidar Data with 3D Voxel Representation][https://aifb.kit.edu/images/4/4e/2022_09_Benchmark_AnomalyDetection.pdf &nbsp;(PDF)]</li>
 +
<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 &nbsp;(PDF)]</li>
 +
<li>[https://aifb.kit.edu/web/Thema4949 Anomaly Detection with World Models for Autonomous Driving][https://aifb.kit.edu/images/2/20/2022_09_AnomalyDec_WorldModels.pdf &nbsp;(PDF)]</li>
 +
<li>[https://aifb.kit.edu/web/Thema4947 Specialized Evaluation Metrics for Perception Tasks in Autonomous Driving][https://aifb.kit.edu/images/e/ea/2022_09_EvaluationMetrics.pdf &nbsp;(PDF)]</li>
 +
</ol>
 +
<br>
 +
If you are interested in a student position in one of these fields, just send me an e-mail with your CV, your grades, and two sentences, why you are interested in the position. No cover letter necessary :)
 +
<br><br>
 
=== Publications ===
 
=== Publications ===
 
<ul>
 
<ul>
Zeile 47: Zeile 71:
 
<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 54: Zeile 78:
 
<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>

Version vom 6. September 2022, 07:41 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.

Open Bachelor/Master Theses

  1. Deep Learning Anomaly Detection with Model Contradictions for Autonomous Driving (PDF)
  2. 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving (PDF)
  3. Benchmarking Anomaly Detection on Camera and Lidar Data with 3D Voxel Representation (PDF)
  4. Deep Learning World Models with Latent States for Autonomous Driving (PDF)
  5. Anomaly Detection with World Models for Autonomous Driving (PDF)
  6. Specialized Evaluation Metrics for Perception Tasks in Autonomous Driving (PDF)


If you are interested in a student position in one of these fields, just send me an e-mail with your CV, your grades, and two sentences, why you are interested in the position. No cover letter necessary :)

Publications


Open Source


Let's connect









Forschungsgebiete
Deep Learning, Anomaly Detection