Albert Schotschneider: Unterschied zwischen den Versionen
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<li>AI-Based Approaches for Detecting Model Failures in V2X-Based Systems</li> | <li>AI-Based Approaches for Detecting Model Failures in V2X-Based Systems</li> | ||
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+ | <li>Deep Learning-Based Methods for Detecting Model Failures Autonomous Driving</li> | ||
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<li>Analysis of Machine Learning Methods and Models for Threat Detection in V2X-Based Systems</li><br/> | <li>Analysis of Machine Learning Methods and Models for Threat Detection in V2X-Based Systems</li><br/> |
Version vom 14. November 2023, 15:49 Uhr
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M. Sc. Albert Schotschneider
- FZI-Mitarbeiter
- Email: Schotschneider∂fzi de
- Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
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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 detection, and model-failure detection of driving components in autonomous driving using machine learning methods.
Open Hiwi Positions
Open Bachelor/Master Theses
- AI-Based Approaches for Detecting Model Failures in V2X-Based Systems
- Deep Learning-Based Methods for Detecting Model Failures Autonomous Driving
- Analysis of Machine Learning Methods and Models for Threat Detection in V2X-Based Systems
Interested in another similar topic?
If you are interested in one of these topics (Safety-Validation, Model-Failure Detection) or have a similar topic in mind, don't hesitate to drop me an email with your CV and a few sentences, why you are a good fit!
Also, I offer Hiwi positions!