no code implementations • 19 Apr 2021 • Linara Adilova, Elena Schulz, Maram Akila, Sebastian Houben, Jan David Schneider, Fabian Hueger, Tim Wirtz
Data-driven sensor interpretation in autonomous driving can lead to highly implausible predictions as can most of the time be verified with common-sense knowledge.
no code implementations • 15 Apr 2021 • Laura von Rueden, Tim Wirtz, Fabian Hueger, Jan David Schneider, Nico Piatkowski, Christian Bauckhage
Lastly, we present quantitative results on the Cityscapes dataset indicating that our validation approach can indeed uncover errors in semantic segmentation masks.
1 code implementation • 14 Dec 2020 • Kira Maag, Matthias Rottmann, Serin Varghese, Fabian Hueger, Peter Schlicht, Hanno Gottschalk
In this paper, we present a time-dynamic approach to model uncertainties of instance segmentation networks and apply this to the detection of false positives as well as the estimation of prediction quality.
no code implementations • 3 Nov 2020 • Laura von Rueden, Tim Wirtz, Fabian Hueger, Jan David Schneider, Christian Bauckhage
Artificial intelligence for autonomous driving must meet strict requirements on safety and robustness.
no code implementations • 25 Sep 2019 • Joachim Sicking, Alexander Kister, Matthias Fahrland, Stefan Eickeler, Fabian Hueger, Stefan Rueping, Peter Schlicht, Tim Wirtz
Statistical models are inherently uncertain.