Daniel Bogdoll: Unterschied zwischen den Versionen
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− | 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 [https://www. | + | 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 [https://www.crunchbase.com/organization/saym SAYM]. |
<br><br> | <br><br> | ||
Since November 2020, I am a research associate at the [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/daniel-bogdoll 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. | Since November 2020, I am a research associate at the [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/daniel-bogdoll 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. | ||
Zeile 18: | Zeile 18: | ||
=== Open Bachelor/Master Theses === | === Open Bachelor/Master Theses === | ||
<ol> | <ol> | ||
+ | <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/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>[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>[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> | ||
− | + | <br> | |
+ | 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 :) | ||
+ | <br><br> | ||
=== Publications === | === Publications === | ||
<ul> | <ul> | ||
Zeile 27: | Zeile 34: | ||
<li>[https://github.com/daniel-bogdoll/phd GitHub]</li> | <li>[https://github.com/daniel-bogdoll/phd GitHub]</li> | ||
</ul> | </ul> | ||
− | + | <br> | |
=== Open Source === | === Open Source === | ||
<ul> | <ul> | ||
Zeile 34: | Zeile 41: | ||
<li>[https://github.com/daniel-bogdoll/ConferenceTemplate LaTeX template for IEEE and arXiv publications]</li> | <li>[https://github.com/daniel-bogdoll/ConferenceTemplate LaTeX template for IEEE and arXiv publications]</li> | ||
</ul> | </ul> | ||
− | + | <br> | |
=== Let's connect === | === Let's connect === | ||
<ul> | <ul> | ||
Zeile 41: | Zeile 48: | ||
</ul> | </ul> | ||
|Info EN=<br><br> | |Info EN=<br><br> | ||
− | 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 [https://www. | + | 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 [https://www.crunchbase.com/organization/saym SAYM]. |
<br><br> | <br><br> | ||
Since November 2020, I am a research associate at the [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/daniel-bogdoll 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. | Since November 2020, I am a research associate at the [https://www.fzi.de/wir-ueber-uns/organisation/mitarbeiter/address/daniel-bogdoll 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. | ||
Zeile 48: | Zeile 55: | ||
=== Open Bachelor/Master Theses === | === Open Bachelor/Master Theses === | ||
<ol> | <ol> | ||
+ | <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/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>[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>[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> | ||
− | + | <br> | |
+ | 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 :) | ||
+ | <br><br> | ||
=== Publications === | === Publications === | ||
<ul> | <ul> | ||
Zeile 57: | Zeile 71: | ||
<li>[https://github.com/daniel-bogdoll/phd GitHub]</li> | <li>[https://github.com/daniel-bogdoll/phd GitHub]</li> | ||
</ul> | </ul> | ||
− | + | <br> | |
=== Open Source === | === Open Source === | ||
<ul> | <ul> | ||
Zeile 64: | Zeile 78: | ||
<li>[https://github.com/daniel-bogdoll/ConferenceTemplate LaTeX template for IEEE and arXiv publications]</li> | <li>[https://github.com/daniel-bogdoll/ConferenceTemplate LaTeX template for IEEE and arXiv publications]</li> | ||
</ul> | </ul> | ||
− | + | <br> | |
=== Let's connect === | === Let's connect === | ||
<ul> | <ul> |
Version vom 6. September 2022, 07:41 Uhr
-
M.Sc. Daniel Bogdoll
- FZI-Mitarbeiter
- Email: daniel bogdoll∂kit edu
- Forschungsgruppe: Angewandte Technisch-Kognitive Systeme
-
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