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=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]. |
| − | + | 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. | |
| − | |||
| − | === | + | 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. |
| + | |||
| + | === Open Positions & Theses === | ||
| + | |||
| + | === Publications === | ||
| + | |||
| + | [https://scholar.google.com/citations?user=epFVqnIAAAAJ&hl=en Google Scholar] | ||
| + | [https://www.semanticscholar.org/author/Daniel-Bogdoll/73381787 Semantic Scholar] | ||
| + | |||
| + | === Let's connect === | ||
| + | |||
| + | [https://www.linkedin.com/in/danielbogdoll/ LinkedIn] | ||
| + | [https://github.com/daniel-bogdoll GitHub] | ||
| + | |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]. | ||
| + | |||
| + | 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. | ||
| + | |||
| + | 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. | ||
| + | |||
| + | === Open Positions & Theses === | ||
| + | |||
| + | === Publications === | ||
| + | |||
| + | [https://scholar.google.com/citations?user=epFVqnIAAAAJ&hl=en Google Scholar] | ||
| + | [https://www.semanticscholar.org/author/Daniel-Bogdoll/73381787 Semantic Scholar] | ||
| + | |||
| + | === Let's connect === | ||
| + | |||
| + | [https://www.linkedin.com/in/danielbogdoll/ LinkedIn] | ||
| + | [https://github.com/daniel-bogdoll GitHub] | ||
|Publikationen anzeigen=Nein | |Publikationen anzeigen=Nein | ||
|Vorträge anzeigen=Nein | |Vorträge anzeigen=Nein | ||
|Organisation=AIFB, KIT | |Organisation=AIFB, KIT | ||
| − | |Abschlussarbeiten anzeigen= | + | |Abschlussarbeiten anzeigen=Ja |
}} | }} | ||
Version vom 1. September 2022, 12:40 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.
I maintain the open-source projects ad-datasets and ad-deadlines, which provide overviews of datasets and conferences in the field of autonomous driving.
Open Positions & Theses
Publications
Google Scholar Semantic Scholar
Let's connect
Forschungsgebiete