5 papers
Uncertain data assimilation for urban wind flow simulations with OpenLB-UQ
Mingliang Zhong, Dennis Teutscher, Adrian Kummerländer +3
Accurate prediction of urban wind flow is essential for urban planning, pedestrian safety, and environmental management. Yet, it remains challenging due to uncertain boundary condi…
Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies
Dennis Teutscher, Tyll Weber-Carstanjen, Stephan Simonis +1
Efficient solid-liquid separation is crucial in industries like mining, but traditional chamber filter presses depend heavily on manual monitoring, leading to inefficiencies, downt…
A Digital Urban Twin Enabling Interactive Pollution Predictions and Enhanced Planning
Dennis Teutscher, Fedor Bukreev, Adrian Kummerlaender +5
Digital twin (DT) technology is increasingly used in urban planning, leveraging real-time data integration for environmental monitoring. This paper presents an urban-focused DT tha…
OpenLB User Guide: Associated with Release 1.6 of the Code
Adrian Kummerländer, Samuel J. Avis, Halim Kusumaatmaja +18
OpenLB is an object-oriented implementation of LBM. It is the first implementation of a generic platform for LBM programming, which is shared with the open source community (GPLv2)…
PDC: Piecewise Depth Completion utilizing Superpixels
Dennis Teutscher, Patrick Mangat, Oliver Wasenmüller
Depth completion from sparse LiDAR and high-resolution RGB data is one of the foundations for autonomous driving techniques. Current approaches often rely on CNN-based methods with…