Daniel Bogdoll: Unterschied zwischen den Versionen
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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 | ||
|Bild=Daniel_8_Square.png | |Bild=Daniel_8_Square.png | ||
| − | |Info=</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]. | 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> |
| − | 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 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 am also deeply interested in the societal implications of autonomous vehicles in the (near) future. |
| − | + | </br></br> | |
| − | 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. | ||
| − | </br> | ||
| − | |||
=== Publications === | === Publications === | ||
| − | < | + | <ul> |
| − | < | + | <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> |
| − | </ | + | </ul> |
=== Let's connect === | === Let's connect === | ||
| − | + | <ul> | |
| − | [https://www.linkedin.com/in/danielbogdoll/ LinkedIn] | + | <li>[https://www.linkedin.com/in/danielbogdoll/ LinkedIn]</li> |
| − | [https://github.com/daniel-bogdoll GitHub] | + | <li>[https://github.com/daniel-bogdoll GitHub]</li> |
| − | |Info EN=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]. | + | </ul> |
| − | + | |Info EN=</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. | + | 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> | |
| − | 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. | + | 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 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 am also deeply interested in the societal implications of autonomous vehicles in the (near) future. |
| − | + | </br></br> | |
| − | |||
=== Publications === | === Publications === | ||
| − | [https://scholar.google.com/citations?user=epFVqnIAAAAJ&hl=en Google Scholar] | + | <ul> |
| − | [https://www.semanticscholar.org/author/Daniel-Bogdoll/73381787 Semantic Scholar] | + | <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> | |
| + | </ul> | ||
=== Let's connect === | === Let's connect === | ||
| − | + | <ul> | |
| − | [https://www.linkedin.com/in/danielbogdoll/ LinkedIn] | + | <li>[https://www.linkedin.com/in/danielbogdoll/ LinkedIn]</li> |
| − | [https://github.com/daniel-bogdoll GitHub] | + | <li>[https://github.com/daniel-bogdoll GitHub]</li> |
| + | </ul> | ||
|Publikationen anzeigen=Nein | |Publikationen anzeigen=Nein | ||
|Vorträge anzeigen=Nein | |Vorträge anzeigen=Nein | ||
Version vom 1. September 2022, 12:45 Uhr
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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 maintain the open-source projects ad-datasets and ad-deadlines, which provide overviews of datasets and conferences in the field of autonomous driving. I am also deeply interested in the societal implications of autonomous vehicles in the (near) future.
Publications
Let's connect
Forschungsgebiete