2 papers
stat.ML2021
From a Point Cloud to a Simulation Model: Bayesian Segmentation and Entropy based Uncertainty Estimation for 3D Modelling
Christina Petschnigg, Markus Spitzner, Lucas Weitzendorf +1
The 3D modelling of indoor environments and the generation of process simulations play an important role in factory and assembly planning. In brownfield planning cases existing dat…
cs.CV2020
Uncertainty Estimation in Deep Neural Networks for Point Cloud Segmentation in Factory Planning
Christina Petschnigg, Juergen Pilz
The digital factory provides undoubtedly a great potential for future production systems in terms of efficiency and effectivity. A key aspect on the way to realize the digital copy…