Jannik Zürn
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Albert-Ludwigs-Universität Freiburg |
This website is only updated periodically. For more information, please visit my personal homepage.
About me
- 12/2018 - up to now: Working at the Autonomous Intelligent Systems group of Prof. Dr. Wolfram Burgard as Ph.D. student.
- 08/2015 - 10/2018: Master of Science in Theoretical Mechanical Engineering with minor in Computational Mechanics and Robotics, Karlsruhe Institute of Technology (KIT)
- 10/2011 - 08/2015: Bachelor of Science in Mechanical Engineering with minor in Continuum Mechanics, Karlsruhe Institute of Technology (KIT)
Research Interests
For my Ph.D. thesis I work on autonomous urban navigation for pedestrian robots. In my research, I aim at bringing Robotics and Artificial Intelligence, especially Deep Learning, closer together. My goal is to enable autonomous robots to better understand their surroundings with the sensors they have and to allow them to more accurately and robustly navigate through those surroundings; especially in precence of adversarial influences such as sensor noise, uncertainties, and occlusion. Self-supervised learning with multiple sensor modalities plays a particularly important role in this endeavour as it allows us to avoid expensive and time-consuming labeling of data which is necessary for standard supervised learning. More specifically, those topics include mainly:- Robot Perception
- Weakly-Supervised Robot Learning
- Self-Supervised Robot Learning
Current Research Projects
Teaching
- Masterpraktikum Deep Learning Lab, Summer Term 2019
- FreiCar: Practical Autonomous Driving, Winter Term 2020/21
- FreiCar: Practical Autonomous Driving, Summer Term 21
Supervised Students
- Semantic Segmentation of Curb and Curb Cuts in Street Imagery, Y. Satyawan, 2019, Bachelor Thesis
- Multimodal Object Tracking with Deep Learning, T. Krautschneider, 2019, Bachelor Thesis
- Optical Flow based Window Detection, G. Stief, 2020, Bachelor Thesis
- Sound Event Localization and Detection, S. Al-Rawi, 2021, Master Thesis
- Self-Supervised Road Crossing Detection for Pedestrian Robots, S. Weber, 2022, Master Thesis
Publications
Conference Papers
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Jannik Zürn,
Wolfram Burgard,
Self-Supervised Moving Vehicle Detection from Audio-Visual Cues
IEEE Robotics and Automation Letters | IEEE International Conference on Intelligent Robots and Systems (IROS), 2022.
Download Website BibTeX -
Johan Vertens,
Jannik Zürn,
Wolfram Burgard,
HeatNet: Bridging the Day-Night Domain Gap in Semantic Segmentation with Thermal Images
IEEE International Conference on Intelligent Robots and Systems (IROS), 2020.
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Journal Articles
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Jannik Zürn,
Johan Vertens,
Wolfram Burgard,
Lane Graph Estimation for Scene Understanding in Urban Driving
IEEE Robotics and Automation Letters, 2021.
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Jannik Zürn,
Wolfram Burgard
Abhinav Valada,
Self-Supervised Visual Terrain Classification from Unsupervised Acoustic Feature Learning
IEEE Transactions on Robotics, 2021.
Download Website Video BibTeX