no code implementations • 23 May 2023 • Kamil Kowol, Stefan Bracke, Hanno Gottschalk
In this study, we propose a novel approach to enrich the training data for automated driving by using a self-designed driving simulator and two human drivers to generate safety-critical corner cases in a short period of time, as already presented in~\cite{kowol22simulator}.
no code implementations • 22 Feb 2022 • Kamil Kowol, Stefan Bracke, Hanno Gottschalk
For the test rig, a real-time semantic segmentation network is trained and integrated into the driving simulation software CARLA in such a way that a human can drive on the network's prediction.
no code implementations • 7 Oct 2020 • Kamil Kowol, Matthias Rottmann, Stefan Bracke, Hanno Gottschalk
In this work, we present an uncertainty-based method for sensor fusion with camera and radar data.