| 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 | 58* | 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 | 15 | 2021 |
| 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 | 9 | 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 | 8 | 2022 |
| 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 | 5 | 2021 |
| 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 | 3 | 2022 |
| 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 |
| Assessing Visual Identification Challenges for Unmarked and Similar Aircraft Components D Schoepflin, J Gierecker, T Schüppstuhl Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology …, 2022 | 1 | 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 | 1 | 2021 |
| Daten zur richtigen Zeit am richtigen Ort D Schoepflin, A Wendt, T Schüppstuhl Industrial Production 1 (12), 46-47, 2020 | 1 | 2020 |
| Industrial Segment Anything--a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul K Moenck, A Wendt, P Prünte, J Koch, A Sahrhage, J Gierecker, ... arXiv preprint arXiv:2307.12674, 2023 | | 2023 |
| Towards Recognition of Human Actions in Collaborative Tasks with Robots: Extending Action Recognition with Tool Recognition Methods L Büsch, J Koch, D Schoepflin, M Schulze, T Schüppstuhl Sensors 23 (12), 5718, 2023 | | 2023 |
| Robot-Based Inspection of Freeform Components: Process Analysis and Challenges in Using a Lateral Scanning WLI J Ehrbar, D Schoepflin, T Schüppstuhl International Conference on Flexible Automation and Intelligent …, 2023 | | 2023 |
| Analyzing the Effects of Different 3D-Model Acquisition Methods for Synthetic AI Training Data Generation and the Domain Gap ÖB Albayrak, D Schoepflin, D Holst, L Möller, T Schüppstuhl International Conference on Flexible Automation and Intelligent …, 2023 | | 2023 |
| DIGITAL TWINS IN AIRCRAFT PRODUCTION: CHALLENGES AND OPPORTUNITIES K Moenck, JE Rath, J Koch, A Wendt, D Schoepflin, F Kalscheuer, ... | | 2023 |
| A Comparative Study of Visual Identification Methods for Highly Similar Engine Tubes in Aircraft Maintenance, Repair and Overhaul P Prünte, D Schoepflin, T Schüppstuhl Sensors 23 (15), 6779, 2023 | | 2023 |
| Automated CAD-based sensor planning and system implementation for assembly supervision J Gierecker, F Kalscheuer, D Schoepflin, T Schüppstuhl Procedia CIRP 118, 930-934, 2023 | | 2023 |
| Generation of Synthetic AI Training Data for Robotic Grasp-Candidate Identification and Evaluation in Intralogistics Bin-Picking Scenarios D Holst, D Schoepflin, T Schüppstuhl Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology …, 2022 | | 2022 |
| Tool Wear Classification in Automated Drilling Operations of Aircraft Structure Components using Artificial Intelligence Methods J Koch, D Schoepflin, A Venkatanarasimhan, T Schüppstuhl SAE International Journal of Advances and Current Practices in Mobility 4 …, 2022 | | 2022 |
| 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 |
Thorsten SchüppstuhlProfessor Produktionstechnik, TU HamburgBestätigte E-Mail-Adresse bei tuhh.de
