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Daniel Bogdoll: Unterschied zwischen den Versionen

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<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 &nbsp;(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 &nbsp;(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 &nbsp;(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 &nbsp;(PDF)]</li>
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<li>[https://aifb.kit.edu/images/c/c6/Autonomes_Fahren-_Seltene_und_herausfordernde_Szenarien_in_der_Simulation.pdf Autonomes Fahren: Seltene und
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<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 &nbsp;(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 &nbsp;(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 &nbsp;(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 &nbsp;(PDF)]</li>
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=== Open Hiwi positions ===
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<li>[https://aifb.kit.edu/images/c/c6/Autonomes_Fahren-_Seltene_und_herausfordernde_Szenarien_in_der_Simulation.pdf Autonomes Fahren: Seltene und
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herausfordernde Szenarien in der Simulation]</li>
 
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Version vom 27. Oktober 2023, 09:28 Uhr

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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

  1. Benchmarking Anomaly Detection on Camera and Lidar Data with 3D Voxel Representation (PDF)
  2. Anomaly Detection with World Models for Autonomous Driving (PDF)

Open Hiwi positions

  1. [https://aifb.kit.edu/images/c/c6/Autonomes_Fahren-_Seltene_und_herausfordernde_Szenarien_in_der_Simulation.pdf Autonomes Fahren: Seltene und herausfordernde Szenarien in der Simulation]


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


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Forschungsgebiete
Deep Learning, Anomaly Detection