Scholar
Niclas Vödisch
Google Scholar ID: lmNXQDYAAAAJ
University of Freiburg
Citations & Impact
Citations
371
H-index
11
i10-index
11
Publications
18
Co-authors
28
list available
Publications
Resume (English only)
Academic Achievements
- Published a LiDAR-camera-based fusion approach for traffic cone detection at IROS '20; Dean's List at Carnegie Mellon University (fall 2016).
Research Experience
- Huawei Technologies: Research Intern - Computer Vision and Machine Learning (November 2025 - Present); AMZ Driverless: Chief Technology Officer (August 2019 - August 2020), Perception Engineer (October 2018 - August 2019); Autonomous Intelligent Driving GmbH: Intern - Sensor Fusion Team (September 2019 - February 2020).
Education
- Ph.D. from University of Freiburg (June 2021 - June 2025), advisors Prof. Dr. Wolfram Burgard and Prof. Dr. Abhinav Valada; M.Sc. from ETH Zurich (September 2018 - May 2021), program in Computational Science and Engineering; B.Sc. from RWTH Aachen University (September 2014 - June 2018), program in Computational Engineering Science.
Background
- Interests: Autonomous Driving, Deep Learning, Perception & Mapping, Software Engineering. Intern at Huawei Research Center in Zurich. Previously, a Ph.D. student at the Autonomous Intelligent Systems Lab at the University of Freiburg and a member of the ELLIS Society. My research focuses on enhancing machine perception and SLAM systems using deep learning methods.
Miscellany
- Personal Interests: Sports Enthusiast
