no code implementations • 7 Mar 2023 • Ahmad Adee, Roman Gansch, Peter Liggesmeyer, Claudius Glaeser, Florian Drews
The novel triggering conditions are modeled in the BN and retested.
no code implementations • 21 Apr 2022 • Jasmine Richter, Florian Faion, Di Feng, Paul Benedikt Becker, Piotr Sielecki, Claudius Glaeser
In order to make autonomous driving a reality, artificial neural networks have to work reliably in the open-world.
no code implementations • 26 Sep 2019 • Di Feng, Lars Rosenbaum, Claudius Glaeser, Fabian Timm, Klaus Dietmayer
Reliable uncertainty estimation is crucial for perception systems in safe autonomous driving.
1 code implementation • 21 Feb 2019 • Di Feng, Christian Haase-Schuetz, Lars Rosenbaum, Heinz Hertlein, Claudius Glaeser, Fabian Timm, Werner Wiesbeck, Klaus Dietmayer
This review paper attempts to systematically summarize methodologies and discuss challenges for deep multi-modal object detection and semantic segmentation in autonomous driving.
Robotics