Unpaired Single-Image Depth Synthesis with cycle-consistent Wasserstein GANs

no code implementations • 31 Mar 2021 • Christoph Angermann, Adéla Moravová, Markus Haltmeier, Steinbjörn Jónsson, Christian Laubichler

Real-time estimation of actual environment depth is an essential module for various autonomous system tasks such as localization, obstacle detection and pose estimation.

Depth Estimation Pose Estimation

Surface Topography Characterization Using a Simple Optical Device and Artificial Neural Networks

no code implementations • 15 Mar 2021 • Christoph Angermann, Markus Haltmeier, Christian Laubichler, Steinbjörn Jónsson, Matthias Schwab, Adéla Moravová, Constantin Kiesling, Martin Kober, Wolfgang Fimml

A novel machine learning framework is proposed that allows prediction of the bearing load curves from RGB images of the liner surface that can be collected with a handheld microscope.

BIG-bench Machine Learning