Research on advanced driver assistance systems (ADAS) and automated driving. Focus areas include machine learning, computer vision, and edge computing for electrified mobile autonomous systems.
About
I am a research associate at the Zentrum für angewandte Forschung at TH Deggendorf (Technologie Campus Plattling), working on advanced driver assistance systems and automated driving technologies. I am pursuing a PhD at the Department of Geoinformatics (Z_GIS), University of Salzburg, with a focus on edge computing architectures for autonomous systems and geospatial analysis.
Experience
Education
Publications
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Serverless Edge-Native Data Processing Architecture for Training Autonomous Driving Systems
arXiv preprint -
Smart Data Capture in ADAS Development
IEEE, 2025 -
FSOCO: The Formula Student Objects in Context Dataset
arXiv preprint
Projects
Formula Student Driverless
Contributed to the development of autonomous racing vehicles as part of the Formula Student Driverless competition. This work included building perception pipelines, creating training datasets, and developing the FSOCO dataset — a publicly available object detection dataset for Formula Student competitions.