Albert Schotschneider: Unterschied zwischen den Versionen
Aus Aifbportal
Kc2837 (Diskussion | Beiträge) |
Kc2837 (Diskussion | Beiträge) |
||
| (3 dazwischenliegende Versionen desselben Benutzers werden nicht angezeigt) | |||
| Zeile 2: | Zeile 2: | ||
|Vorname=Albert | |Vorname=Albert | ||
|Nachname=Schotschneider | |Nachname=Schotschneider | ||
| − | |Akademischer Titel=M.Sc. | + | |Akademischer Titel=M. Sc. |
|Forschungsgruppe=Angewandte Technisch-Kognitive Systeme | |Forschungsgruppe=Angewandte Technisch-Kognitive Systeme | ||
|Stellung=FZI-Mitarbeiter | |Stellung=FZI-Mitarbeiter | ||
| Zeile 11: | Zeile 11: | ||
|Bild=Schotschneider_Albert_small.jpg | |Bild=Schotschneider_Albert_small.jpg | ||
|Info=<br> | |Info=<br> | ||
| − | Albert Schotschneider studied computer science and autonomous systems at the Technical University of Darmstadt. Since 2021, he is a research assistant at the FZI Research Center for Information Technology Karlsruhe in the department for Technical Cognitive Systems. His research interests are misbehavior and malfunction detection of driving components with self-optimization capabilities in autonomous driving using machine learning methods. | + | Albert Schotschneider studied computer science and autonomous systems at the Technical University of Darmstadt. Since 2021, he is a research assistant at the FZI Research Center for Information Technology Karlsruhe in the department for Technical Cognitive Systems. His research interests are performance assessment, misbehavior and malfunction detection of driving components with self-optimization and re-training capabilities in autonomous driving using machine learning methods. |
<br> | <br> | ||
| Zeile 20: | Zeile 20: | ||
=== Open Bachelor/Master Theses === | === Open Bachelor/Master Theses === | ||
<ul> | <ul> | ||
| − | <li>Detecting Mislocalization using Deep Learning Methods for Autonomous Driving [https://aifb.kit.edu/images/ | + | <li>[https://aifb.kit.edu/images/5/5c/2022-10-20-Ausschreibung-Localization.pdf Detecting Mislocalization using Deep Learning Methods for Autonomous Driving]</li> |
| + | <br/> | ||
| + | <li>[https://aifb.kit.edu/images/e/e8/BA_Evaluating-Metrics-for-Performance-Assessment-in-Autonomous-Driving.pdf Evaluating Metrics for Performance Assessment in Autonomous Driving]</li><br/> | ||
</ul> | </ul> | ||
| + | <br/> | ||
| + | If you are interested in one of these topics, don't hesitate to drop me an email with your CV and a few sentences, why you are a good fit! | ||
|Info EN==== More Information [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/albert-schotschneider/ FZI Homepage] === | |Info EN==== More Information [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/albert-schotschneider/ FZI Homepage] === | ||
|Publikationen anzeigen=Nein | |Publikationen anzeigen=Nein | ||
| Zeile 27: | Zeile 31: | ||
|Organisation=AIFB, KIT | |Organisation=AIFB, KIT | ||
|Abschlussarbeiten anzeigen=Ja | |Abschlussarbeiten anzeigen=Ja | ||
| + | }} | ||
| + | {{Forschungsgebiet Auswahl | ||
| + | |Forschungsgebiet=Deep Learning | ||
| + | }} | ||
| + | {{Forschungsgebiet Auswahl | ||
| + | |Forschungsgebiet=Maschinelles Lernen | ||
}} | }} | ||
Version vom 4. Februar 2023, 14:26 Uhr
-
M. Sc. Albert Schotschneider
- FZI-Mitarbeiter
- Email: Schotschneider∂fzi de
- Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
-
FZI Forschungszentrum Informatik
Haid-und-Neu-Straße 10-14
76131 Karlsruhe - vCard
Albert Schotschneider studied computer science and autonomous systems at the Technical University of Darmstadt. Since 2021, he is a research assistant at the FZI Research Center for Information Technology Karlsruhe in the department for Technical Cognitive Systems. His research interests are performance assessment, misbehavior and malfunction detection of driving components with self-optimization and re-training capabilities in autonomous driving using machine learning methods.
Open Hiwi Positions
Open Bachelor/Master Theses
- Detecting Mislocalization using Deep Learning Methods for Autonomous Driving
- Evaluating Metrics for Performance Assessment in Autonomous Driving
If you are interested in one of these topics, don't hesitate to drop me an email with your CV and a few sentences, why you are a good fit!
Abschlussarbeiten
Forschungsgebiete