no code implementations • 15 Apr 2024 • Georg Rabenstein, Lars Ullrich, Knut Graichen
In this context, normalizing flows originating from the field of variational inference are considered for the generation of sampling distributions, as they model transformations of simple to more complex distributions.
no code implementations • 12 Apr 2024 • Lars Ullrich, Alex McMaster, Knut Graichen
Trajectory planning in autonomous driving is highly dependent on predicting the emergent behavior of other road users.
1 code implementation • 10 Jan 2024 • Thore Wietzke, Jan Gall, Knut Graichen
An LFM-based model predictive control (MPC) concept for BES is presented that benefits from the extrapolation capability of mechanistic models and the learning ability of GPs to predict the occupancy within the building.
no code implementations • 1 Sep 2023 • Marcel Hoffmann, Sandro Braun, Oliver Sura, Michael Stelzig, Christian Schüßler, Knut Graichen, Martin Vossiek
This paper presents an approach to automatically annotate automotive radar data with AI-segmented aerial camera images.