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Daniel Bogdoll/en

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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. Anomaly Detection on Camera and Lidar Data with 3D Voxel Representation
  2. Anomaly Detection with World Models for Autonomous Driving


Open Hiwi positions

  1. 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


Let's connect




Research area
Deep Learning, Anomaly_Detection