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- Name: Niclas Vödisch
- Pronouns: He/Him/His
- PhD School: University of Freiburg
- Alma Mater: ETH Zurich
- Interests: Robotics, Deep Learning, Perception & Mapping, Software Engineering
I am a research scientist for Computer Vision and Machine Learning at the Huawei Research Center in Zurich. Previously, I was a Ph.D. student at the Autonomous Intelligent Systems Lab at the University of Freiburg and a member of the ELLIS Society. I have been supervised by Prof. Dr. Wolfram Burgard and co-supervised by Prof. Dr. Abhinav Valada. During my Ph.D., I spent six months as a visiting student at the Robotics and Perception Group at the University of Zurich, where I was supervised by Prof. Dr. Davide Scaramuzza. My doctoral research focused on developing novel methods for perception, mapping, and localization in the context of autonomous driving. My work has been published in top-tier robotics conferences and journals, including RSS, ICRA, and RA-L.
I obtained my M.Sc. degree in Computational Science and Engineering from ETH Zurich, where I wrote my Master's thesis at the Computer Vision Lab. In Zurich, I was a member of AMZ Driverless, the most successful Formula Student Driverless team in the world. In my first season, I worked on the vehicle's perception system, integrating multiple LiDARs and sensor fusion into our pipeline. Later, I served as the CTO, leading an international team of 20 Master's students. I also interned with the sensor fusion team at AID (an AUDI subsidiary, later Argo AI), where I focused on LiDAR-based mapping.
My academic journey began at RWTH Aachen University, where I completed my B.Sc. in Computational Engineering Science. I also spent a year as a visiting student at Carnegie Mellon University, sparking my interest in robotics and machine learning.
