Scholar
Daniel Dauner
Google Scholar ID: tZqIYDcAAAAJ
University of Tübingen
Citations & Impact
Citations
326
H-index
4
i10-index
3
Publications
7
Co-authors
12
list available
Publications
Resume (English only)
Academic Achievements
- Published several papers, including 'Pseudo-Simulation for Autonomous Driving' (CoRL 2025), 'CaRL: Learning Scalable Planning Policies with Simple Rewards' (CoRL 2025), 'NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking' (NeurIPS 2024), and 'SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic' (ECCV 2024). Also, a paper on misconceptions about learning-based vehicle motion planning won the 2023 nuPlan challenge.
Research Experience
- Developed a vehicle motion planner that won the 2023 nuPlan challenge during his master's degree. Since 2024, has been a PhD student at the Autonomous Vision Group, working on various research projects.
Education
- Received BSc in Bioinformatics from the University of Tübingen in 2021; MSc in Computer Science (with distinction) from the University of Tübingen in 2023; Started PhD at the Autonomous Vision Group, supervised by Prof. Andreas Geiger, and joined the International Max Planck Research School for Intelligent Systems in 2024.
Background
- Research interests lie in the intersection of machine learning and robotics, particularly in autonomous driving. Specifically, exploring data-driven simulation and representation learning for vehicle motion planning. The ultimate goal is to contribute to the realization of fully autonomous cars.
Miscellany
- Contact information includes email, Google Scholar, GitHub, Bluesky, LinkedIn, and YouTube.
