| Deep learning for brake squeal: Brake noise detection, characterization and prediction M Stender, M Tiedemann, D Spieler, D Schoepflin, N Hoffmann, S Oberst Mechanical Systems and Signal Processing 149, 107181, 2021 | 30 | 2021 |
| Synthetic Training Data Generation for Visual Object Identification on Load Carriers D Schoepflin, D Holst, M Gomse, T Schüppstuhl Procedia CIRP 104, 1257-1262, 2021 | 4 | 2021 |
| Smart Material Delivery Unit for the Production Supplying Logistics of Aircraft D Schoepflin, J Koch, M Gomse, T Schüppstuhl Procedia Manufacturing 55, 455-462, 2021 | 2 | 2021 |
| Towards Visual Referencing for Location Based Services in Industrial Settings D Schoepflin, M Brand, M Gomse, T Schueppstuhl ISR 2020; 52th International Symposium on Robotics, 1-8, 2020 | 2 | 2020 |
| Daten zur richtigen Zeit am richtigen Ort D Schoepflin, A Wendt, T Schüppstuhl Industrial Production 1 (12), 46-47, 2020 | 1 | 2020 |
| Tool Wear Classification in Automated Drilling Operations of Aircraft Structure Components using Artificial Intelligence Methods (SAE Paper 2022-01-0040) J Koch, D Schoepflin, A Venkatanarasimhan, T Schüppstuhl SAE technical papers, 2022 | | 2022 |
| Procedural synthetic training data generation for AI-based defect detection in industrial surface inspection O Schmedemann, M Baaß, D Schoepflin, T Schüppstuhl Procedia CIRP 107, 1101-1106, 2022 | | 2022 |
| Towards Synthetic AI Training Data for Image Classification in Intralogistic Settings D Schoepflin, K Iyer, M Gomse, T Schüppstuhl Annals of Scientific Society for Assembly, Handling and Industrial Robotics …, 2022 | | 2022 |
| Configuration and Enablement of Vision Sensor Solutions Through a Combined Simulation Based Process Chain J Gierecker, D Schoepflin, O Schmedemann, T Schüppstuhl Annals of Scientific Society for Assembly, Handling and Industrial Robotics …, 2022 | | 2022 |
| Visual AI Applications on Smart Delivery Units D Schoepflin, Ö Albayrak, P Scheffler, A Wendt, M Gomse, T Schüppstuhl 2021 IEEE Global Conference on Artificial Intelligence and Internet of …, 2021 | | 2021 |
| Automatisierte Bilddatengenerierung als Trainingsdatensatz für eine KI-Objektidentifikation in der Intralogistik D Schoepflin, M Gomse | | 2020 |
| Bilddatengenerierung als Trainingsdatensatz für eine KI-Objektidentifikation in der Intralogistik D Schoepflin | | 2020 |
Thorsten SchüppstuhlProfessor Produktionstechnik, TU HamburgBestätigte E-Mail-Adresse bei tuhh.de
