3 papers
cs.LG2025
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…
physics.soc-ph2025
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…
cs.CV2021
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…