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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.
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Albert Schotschneider studied computer science and autonomous systems at the Technical University of Darmstadt. Since 2021, he has been a research assistant at the FZI Research Center for Information Technology Karlsruhe in the department of Technical Cognitive Systems. His research interests are monitoring of Deep Neural Networks, among others, in autonomous driving using machine learning methods and deep learning methods.
 
 
 
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=== Open Bachelor/Master Theses ===
 
=== Open Bachelor/Master Theses ===
 
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<li>[https://aifb.kit.edu/images/5/5c/2022-10-20-Ausschreibung-Localization.pdf Detecting Mislocalization using Deep Learning Methods for Autonomous Driving]</li>
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<li>AI-Based Approaches for Detecting Model Failures in V2X-Based Communication on the TAF-BW</li>
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<li>Deep Learning-Based Methods for Detecting Model Failures in Autonomous Driving</li>
 
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<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/>
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<li>Safety Runtime Monitoring of Deep Neural Networks in Perception</li><br/>
 
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<b>Interested in another similar topic?</b>
 
<b>Interested in another similar topic?</b>
 
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If you are interested in one of these topics 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!
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If you are interested in Safety and Runtime Monitoring of DNNs and other Machine Learning Models, or have a similar topic in mind, don't hesitate to drop me an email with your CV, Grades, and a few sentences, why you are a good fit! <br />
 
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|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] ===
 
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Aktuelle Version vom 2. Mai 2024, 12:06 Uhr

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Albert Schotschneider studied computer science and autonomous systems at the Technical University of Darmstadt. Since 2021, he has been a research assistant at the FZI Research Center for Information Technology Karlsruhe in the department of Technical Cognitive Systems. His research interests are monitoring of Deep Neural Networks, among others, in autonomous driving using machine learning methods and deep learning methods.

Open Hiwi Positions

Open Bachelor/Master Theses

  • AI-Based Approaches for Detecting Model Failures in V2X-Based Communication on the TAF-BW

  • Deep Learning-Based Methods for Detecting Model Failures in Autonomous Driving

  • Safety Runtime Monitoring of Deep Neural Networks in Perception




Interested in another similar topic?

If you are interested in Safety and Runtime Monitoring of DNNs and other Machine Learning Models, or have a similar topic in mind, don't hesitate to drop me an email with your CV, Grades, and a few sentences, why you are a good fit!




Abschlussarbeiten
Abschlussarbeiten







Forschungsgebiete
Maschinelles Lernen, Deep Learning