Daniel Bogdoll: Unterschied zwischen den Versionen
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|Stellung=FZI-Mitarbeiter | |Stellung=FZI-Mitarbeiter | ||
|Ehemaliger=Nein | |Ehemaliger=Nein | ||
| + | |Email=daniel.bogdoll@kit.edu | ||
|Hinweis DE='''FZI Forschungszentrum Informatik'''<br />Haid-und-Neu-Straße 10-14<br />76131 Karlsruhe | |Hinweis DE='''FZI Forschungszentrum Informatik'''<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 | |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= | + | |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]. | ||
| + | <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. | ||
| + | <br><br> | ||
| − | === | + | === 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> | ||
| + | <li>[https://github.com/daniel-bogdoll/phd GitHub]</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 LaTeX template for IEEE and arXiv publications]</li> | ||
| + | </ul> | ||
| + | |||
| + | === Let's connect === | ||
| + | <ul> | ||
| + | <li>[https://www.linkedin.com/in/danielbogdoll/ LinkedIn]</li> | ||
| + | <li>[https://github.com/daniel-bogdoll GitHub]</li> | ||
| + | </ul> | ||
| + | |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]. | ||
| + | <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. | ||
| + | <br><br> | ||
| + | |||
| + | === 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> | ||
| + | <li>[https://github.com/daniel-bogdoll/phd GitHub]</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 LaTeX template for IEEE and arXiv publications]</li> | ||
| + | </ul> | ||
| + | |||
| + | === Let's connect === | ||
| + | <ul> | ||
| + | <li>[https://www.linkedin.com/in/danielbogdoll/ LinkedIn]</li> | ||
| + | <li>[https://github.com/daniel-bogdoll GitHub]</li> | ||
| + | </ul> | ||
|Publikationen anzeigen=Nein | |Publikationen anzeigen=Nein | ||
|Vorträge anzeigen=Nein | |Vorträge anzeigen=Nein | ||
|Organisation=AIFB, KIT | |Organisation=AIFB, KIT | ||
| − | |Abschlussarbeiten anzeigen= | + | |Abschlussarbeiten anzeigen=Ja |
| + | }} | ||
| + | {{Forschungsgebiet Auswahl | ||
| + | |Forschungsgebiet=Deep Learning | ||
}} | }} | ||
Version vom 1. September 2022, 12:58 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
- LaTeX template for IEEE and arXiv publications
Let's connect
Forschungsgebiete