Sebastian Bickel

Chair of Engineering Design

FROM SKETCHES TO GRAPHS: A DEEP LEARNING BASED METHOD FOR DETECTION AND CONTEXTUALISATION OF PRINCIPLE SKETCHES IN THE EARLY PHASE OF PRODUCT DEVELOPMENT (2023) Bickel S, Götz S, Wartzack S Journal article Detection of Plausibility and Error Reasons in Finite Element Simulations with Deep Learning Networks (2023) Bickel S, Götz S, Wartzack S Journal article A Novel Shape Retrieval Method for 3D Mechanical Components Based on Object Projection, Pre-Trained Deep Learning Models and Autoencoder (2023) Bickel S, Schleich B, Wartzack S Journal article DETECTION OF SINGULARITIES IN FINITE ELEMENT SIMULATIONS: A 3D DEEP LEARNING APPROACH (2023) Bickel S, Götz S, Wartzack S Conference contribution Generating Digital Twins for Path-Planning of Autonomous Robots and Drones Using Constrained Homotopic Shrinking for 2D and 3D Environment Modeling (2022) Denk M, Bickel S, Steck P, Götz S, Völkl H, Wartzack S Journal article Enabling Initial Design-Checks of Parametric Designs Using Digital Engineering Methods (2022) Gerschütz B, Bickel S, Schleich B, Wartzack S Journal article A New Projection Based Method for the Classification of Mechanical Components Using Convolutional Neural Networks (2022) Bickel S, Schleich B, Wartzack S Conference contribution ResNet networks for plausibility detection in Finite Element simulations (2022) Bickel S, Schleich B, Wartzack S Conference contribution Approach and application to transfer heterogeneous simulation data from finite element analysis to neural networks (2021) Sprügel T, Bickel S, Schleich B, Wartzack S Journal article Detection and Classification of Symbols in Principle Sketches using Deep Learning (2021) Bickel S, Schleich B, Wartzack S Conference contribution, Conference Contribution