| 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 | 18 | 2021 |
| 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 | 2 | 2023 |
| Adapting synthetic training data in deep learning-based visual surface inspection to improve transferability of simulations to real-world environments O Schmedemann, S Schlodinski, D Holst, T Schüppstuhl Automated Visual Inspection and Machine Vision V 12623, 25-35, 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 |
| Generation of synthetic AI training data for robotic grasp-candidate identification and evaluation in intralogistics bin-picking scenarios D Holst, D Schoepflin, T Schüppstuhl International Conference on Flexible Automation and Intelligent …, 2022 | | 2022 |
