Daniel Bogdoll/en

• M.Sc. Daniel Bogdoll

• Employee at FZI
• Email: daniel bogdoll∂kit edu

• Research Group: Applied Technical Cognitive Systems
• FZI Research Center for Information Technology
  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

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

• Google Scholar
• Semantic Scholar
• GitHub

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

• Homepage
• LinkedIn
• GitHub

Research area

Deep Learning, Anomaly_Detection