1 code implementation • 21 Jun 2022 • Hermann Blum, Marcus G. Müller, Abel Gawel, Roland Siegwart, Cesar Cadena
In order to operate in human environments, a robot's semantic perception has to overcome open-world challenges such as novel objects and domain gaps.
no code implementations • 20 Sep 2021 • JongSeok Lee, Jianxiang Feng, Matthias Humt, Marcus G. Müller, Rudolph Triebel
This paper presents a probabilistic framework to obtain both reliable and fast uncertainty estimates for predictions with Deep Neural Networks (DNNs).
1 code implementation • 12 Sep 2021 • Martin Wudenka, Marcus G. Müller, Nikolaus Demmel, Armin Wedler, Rudolph Triebel, Daniel Cremers, Wolfgang Stürzl
In contrast to most other approaches, our framework can also handle rotation-only motions that are particularly challenging for monocular odometry systems.