I am a PhD student at the University of Tübingen, where I am part of the Autonomous Vision Group and supervised by Prof. Andreas Geiger.
Interests: My research interest lies in the intersection of machine learning and robotics, where I am deeply fascinated by autonomous driving. Specifically, I am exploring data-driven simulation and representation learning for vehicle motion planning. My ultimate goal is to contribute to the realization of fully autonomous cars.
Bio: I received my BSc in Bioinformatics in 2021 and my MSc in Computer Science in 2023 (with distinction) at the University of Tübingen. The highlight of my master's education was developing a vehicle motion planner that won the 2023 nuPlan challenge. I recently started my PhD at the Autonomous Vision Group, where I am supervised by Prof. Andreas Geiger.
For any inquiries, feel free to write an email!
@inproceedings{Dauner2023CORL,
author = {Daniel Dauner and Marcel Hallgarten and Andreas Geiger and Kashyap Chitta},
title = {Parting with Misconceptions about Learning-based Vehicle Motion Planning},
booktitle = {Conference on Robot Learning (CoRL)},
year = {2023},
}
@inproceedings{Dauner2023ICLRW,
author = {Daniel Dauner},
title = {Image Reconstruction from Event Cameras for Autonomous Driving},
booktitle = {International Conference on Learning Representations (ICLR) Workshop on Scene Representations for Autonomous Driving},
year = {2023},
}
@mastersthesis{Dauner2023Master,
author = {Daniel Dauner},
title = {Vehicle Motion Planning using Data-Driven Simulation},
year = {2023},
school = {University of Tübingen},
}
@inproceedings{Mucsanyi2022Datalit,
author = {Bálint Mucsányi and Daniel Dauner},
title = {Analyzing Influential Factors of a Successful Movie},
booktitle = {Project Work at the University of Tübingen},
year = {2022},
}
@bachelorsthesis{Dauner2021Bachelor,
author = {Daniel Dauner},
title = {Acetabulum Fracture Classification on a large Cohort of CT Images from German Hospitals using 3D CNNs},
year = {2021},
school = {University of Tübingen},
}
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