Distribution Preserving Multiple Hypotheses Prediction for Uncertainty Modeling

1 code implementation • 6 Oct 2021 • Tobias Leemann, Moritz Sackmann, Jörn Thielecke, Ulrich Hofmann

Many supervised machine learning tasks, such as future state prediction in dynamical systems, require precise modeling of a forecast's uncertainty.

motion prediction

Learning Topometric Semantic Maps from Occupancy Grids

1 code implementation • 10 Jan 2020 • Markus Hiller, Chen Qiu, Florian Particke, Christian Hofmann, Jörn Thielecke

Today's mobile robots are expected to operate in complex environments they share with humans.