Jannik Zürn

PhD student @Autonomous Intelligent Systems.

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My name is Jannik Zürn and I am a Ph.D. student in robotics at the Autonomous Intelligent Systems lab under the supervision of Prof. Wolfram Burgard at the University of Freiburg, Germany.

For my PhD 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.

Research Statement

In my daily reseach 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 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.

You can find my work homepage with links to current research projects here.

You can find my CV here.

news

Jan 30, 2022 Our new paper Self-Supervised Moving Vehicle Detection from Audio-Visual Cues is now on ArXiV!
Aug 20, 2021 Our recent paper Lane Graph Estimation for Scene Understanding in Urban Driving got accepted to RA-L! :sparkles:
Apr 1, 2021 Our recent paper Lane Graph Estimation for Scene Understanding in Urban Driving is available on ArXiv!

selected publications

  1. Self-supervised visual terrain classification from unsupervised acoustic feature learning
    Zürn, Jannik, Burgard, Wolfram, and Valada, Abhinav
    IEEE Transactions on Robotics 2020