Daniel Bogdoll: Unterschied zwischen den Versionen
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<li>[https://aifb.kit.edu/web/Thema4947 Specialized Evaluation Metrics for Perception Tasks in Autonomous Driving][https://aifb.kit.edu/images/e/ea/2022_09_EvaluationMetrics.pdf (PDF)]</li> | <li>[https://aifb.kit.edu/web/Thema4947 Specialized Evaluation Metrics for Perception Tasks in Autonomous Driving][https://aifb.kit.edu/images/e/ea/2022_09_EvaluationMetrics.pdf (PDF)]</li> | ||
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=== Ongoing and completed theses === | === Ongoing and completed theses === | ||
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<li>[https://aifb.kit.edu/web/Thema4947 Specialized Evaluation Metrics for Perception Tasks in Autonomous Driving][https://aifb.kit.edu/images/e/ea/2022_09_EvaluationMetrics.pdf (PDF)]</li> | <li>[https://aifb.kit.edu/web/Thema4947 Specialized Evaluation Metrics for Perception Tasks in Autonomous Driving][https://aifb.kit.edu/images/e/ea/2022_09_EvaluationMetrics.pdf (PDF)]</li> | ||
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=== Ongoing and completed theses === | === Ongoing and completed theses === |
Version vom 28. November 2022, 10:45 Uhr
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M.Sc. Daniel Bogdoll
- FZI-Mitarbeiter
- Email: daniel bogdoll∂kit edu
- Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
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FZI Forschungszentrum Informatik
Haid-und-Neu-Straße 10-14
76131 Karlsruhe - vCard
Hello, let me introduce myself :) I'm Daniel and 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 the 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 scientist 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 anomaly detection for autonomous vehicles. I am also deeply interested in the societal implications of autonomous vehicles in the (near) future.
Open Bachelor/Master Theses
- Benchmarking Anomaly Detection on Camera and Lidar Data with 3D Voxel Representation (PDF)
- Deep Learning World Models with Latent States for Autonomous Driving (PDF)
- Anomaly Detection with World Models for Autonomous Driving (PDF)
- Specialized Evaluation Metrics for Perception Tasks in Autonomous Driving (PDF)
Ongoing and completed theses
- Deep Learning Anomaly Detection with Model Contradictions for Autonomous Driving (PDF)
- 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving (PDF)
- Reinforcement Learning for Controlled Traffic Rule Exceptions
- Sustainability Assessment of Autonomous Vehicles
- Anomaly Detection in the Latent Space of VAEs
- Anomaly Detection in 3D Space for Autonomous Driving
- Anomaly Detection in Lidar Data by Combining Supervised and Self-Supervised Methods
- Ontology-based Corner Case Scenario Simulation for Autonomous Driving
If you are interested in a student position in one of these fields, just send me an e-mail with your CV, your grades, and two sentences, why you are interested in the position. No cover letter necessary :)
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