Daniel Bogdoll: Unterschied zwischen den Versionen
Da3704 (Diskussion | Beiträge) |
Da3704 (Diskussion | Beiträge) |
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=== Open Bachelor/Master Theses === | === Open Bachelor/Master Theses === | ||
<ol> | <ol> | ||
− | <li>[ | + | <li>[https://aifb.kit.edu/web/Thema4946 Deep Learning Anomaly Detection with Model Contradictions for Autonomous Driving][https://aifb.kit.edu/images/9/9b/2022_09_Model_Contradictions.pdf (PDF)]</li> |
<li>[https://aifb.kit.edu/web/Thema4945 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving][https://aifb.kit.edu/images/4/45/2022_09_Voxel_World.pdf (PDF)]</li> | <li>[https://aifb.kit.edu/web/Thema4945 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving][https://aifb.kit.edu/images/4/45/2022_09_Voxel_World.pdf (PDF)]</li> | ||
− | <li>[ | + | <li>[https://aifb.kit.edu/web/Thema4948 Benchmarking Anomaly Detection on Camera and Lidar Data with 3D Voxel Representation][https://aifb.kit.edu/images/4/4e/2022_09_Benchmark_AnomalyDetection.pdf (PDF)]</li> |
<li>[https://aifb.kit.edu/web/Thema4944 Deep Learning World Models with Latent States for Autonomous Driving][https://aifb.kit.edu/images/5/5b/2022_09_World_Models.pdf (PDF)]</li> | <li>[https://aifb.kit.edu/web/Thema4944 Deep Learning World Models with Latent States for Autonomous Driving][https://aifb.kit.edu/images/5/5b/2022_09_World_Models.pdf (PDF)]</li> | ||
− | <li>[ | + | <li>[https://aifb.kit.edu/web/Thema4949 Anomaly Detection with World Models for Autonomous Driving][https://aifb.kit.edu/images/2/20/2022_09_AnomalyDec_WorldModels.pdf (PDF)]</li> |
− | <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> |
</ol> | </ol> | ||
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=== Open Bachelor/Master Theses === | === Open Bachelor/Master Theses === | ||
<ol> | <ol> | ||
− | <li>[ | + | <li>[https://aifb.kit.edu/web/Thema4946 Deep Learning Anomaly Detection with Model Contradictions for Autonomous Driving][https://aifb.kit.edu/images/9/9b/2022_09_Model_Contradictions.pdf (PDF)]</li> |
<li>[https://aifb.kit.edu/web/Thema4945 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving][https://aifb.kit.edu/images/4/45/2022_09_Voxel_World.pdf (PDF)]</li> | <li>[https://aifb.kit.edu/web/Thema4945 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving][https://aifb.kit.edu/images/4/45/2022_09_Voxel_World.pdf (PDF)]</li> | ||
− | <li>[ | + | <li>[https://aifb.kit.edu/web/Thema4948 Benchmarking Anomaly Detection on Camera and Lidar Data with 3D Voxel Representation][https://aifb.kit.edu/images/4/4e/2022_09_Benchmark_AnomalyDetection.pdf (PDF)]</li> |
<li>[https://aifb.kit.edu/web/Thema4944 Deep Learning World Models with Latent States for Autonomous Driving][https://aifb.kit.edu/images/5/5b/2022_09_World_Models.pdf (PDF)]</li> | <li>[https://aifb.kit.edu/web/Thema4944 Deep Learning World Models with Latent States for Autonomous Driving][https://aifb.kit.edu/images/5/5b/2022_09_World_Models.pdf (PDF)]</li> | ||
− | <li>[ | + | <li>[https://aifb.kit.edu/web/Thema4949 Anomaly Detection with World Models for Autonomous Driving][https://aifb.kit.edu/images/2/20/2022_09_AnomalyDec_WorldModels.pdf (PDF)]</li> |
− | <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> |
</ol> | </ol> | ||
Version vom 6. September 2022, 06:28 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 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.
Open Bachelor/Master Theses
- Deep Learning Anomaly Detection with Model Contradictions for Autonomous Driving (PDF)
- 3D Voxel Benchmark for Anomaly Detection in Autonomous Driving (PDF)
- 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)
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