Daniel Bogdoll: Unterschied zwischen den Versionen
Aus Aifbportal
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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]. | 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 | + | 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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<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> | ||
| + | </ul> | ||
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| + | === Open Source === | ||
| + | <ul> | ||
| + | <li>[https://ad-datasets.com/ ad-datasets: Overview of datasets in the field of autonomous driving]</li> | ||
| + | <li>[https://ad-deadlines.com/ ad-deadlines: Overview of conference deadlines in the field of autonomous driving]</li> | ||
| + | <li>[https://github.com/daniel-bogdoll/ConferenceTemplate Conference template for native IEEE and arXiv publications]</li> | ||
</ul> | </ul> | ||
=== Let's connect === | === Let's connect === | ||
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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]. | 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]. | ||
<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 | + | 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> | ||
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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> | ||
| + | </ul> | ||
| + | |||
| + | === Open Source === | ||
| + | <ul> | ||
| + | <li>[https://ad-datasets.com/ ad-datasets: Overview of datasets in the field of autonomous driving]</li> | ||
| + | <li>[https://ad-deadlines.com/ ad-deadlines: Overview of conference deadlines in the field of autonomous driving]</li> | ||
| + | <li>[https://github.com/daniel-bogdoll/ConferenceTemplate Conference template for native IEEE and arXiv publications]</li> | ||
</ul> | </ul> | ||
=== Let's connect === | === Let's connect === | ||
Version vom 1. September 2022, 12:48 Uhr
-
M.Sc. Daniel Bogdoll
- FZI-Mitarbeiter
- Email: daniel bogdoll∂kit edu
- Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
-
FZI Forschungszentrum Informatik
Haid-und-Neu-Straße 10-14
76131 Karlsruhe - vCard
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.
Publications
Open Source
- ad-datasets: Overview of datasets in the field of autonomous driving
- ad-deadlines: Overview of conference deadlines in the field of autonomous driving
- Conference template for native IEEE and arXiv publications
Let's connect
Forschungsgebiete