2025

• Advancements in aircraft engine Inspection: a MEMS-based 3D measuring borescope
  Gail, Jonathan; Kruse, Felix; Shanshan, Gu-Stoppel; Schmedemann, Ole; Leder, Günther; Reinert, Wolfgang; Wysocki, Lena; Burmeister, Nils; Ratzmann, Lars; Giese, Thorsten; Schütt, Patrick; Piechotta, Gundula; Schüppstuhl, Thorsten
  Aerospace 12 (5): 419 (2025)
  Open Access | Verlags DOI
• Introducing a tool for synthetic defect image data generation: enhancing industrial surface inspection
  Schmedemann, Ole; Holst, Dirk; Lund, Jorrid; Schüppstuhl, Thorsten
  Synthetic Data for Artificial Intelligence and Machine Learning: Tools, Techniques, and Applications III (2025)
  Open Access | Verlags DOI
• A data augmentation algorithm for surface inspection in point cloud data
  Büchner, Daan; Schmedemann, Ole; Schüppstuhl, Thorsten
  58th CIRP Conference on Manufacturing Systems, CMS 2025
  Open Access | Verlags DOI

2024

• Use of augmented reality for iterative robot program optimisation in robot-automated series production processes
  Wulff, Lukas Antonio; Schmedemann, Ole; Schüppstuhl, Thorsten
  5th International Conference on Industry 4.0 and Smart Manufacturing, ISM 2023
  Open Access | Verlags DOI

2023

• Industrial segment anything - A case study in aircraft manufacturing, intralogistics, maintenance, repair, and overhaul
  Moenck, Keno; Wendt, Arne; Prünte, Philipp Julian; Koch, Julian; Sahrhage, Arne; Gierecker, Johann; Schmedemann, Ole; Kähler, Falko; Holst, Dirk; Gomse, Martin; Schüppstuhl, Thorsten; Schoepflin, Daniel
  arXiv: 2307.12674 (2023)
  Open Access | Verlags DOI
• Adapting synthetic training data in deep learning-based visual surface inspection to improve transferability of simulations to real-world environments
  Schmedemann, Ole; Schlodinski, Simon; Holst, Dirk; Schüppstuhl, Thorsten
  Proceedings of SPIE - The International Society for Optical Engineering 12623: 1262307 (2023)
  Open Access | Verlags DOI

2022

• Deep anomaly detection for endoscopic inspection of cast iron parts
  Schmedemann, Ole; Miotke, Maximilian; Kähler, Falko; Schüppstuhl, Thorsten
  31st International Conference on Flexible Automation and Intelligent Manufacturing (FAIM 2022)
  Open Access | Verlags DOI
• Anomaly detection for industrial surface inspection : application in maintenance of aircraft components
  Kähler, Falko; Schmedemann, Ole; Schüppstuhl, Thorsten
  Procedia CIRP 107: 246-251 (2022)
  Open Access | Verlags DOI
• Procedural synthetic training data generation for AI-based defect detection in industrial surface inspection
  Schmedemann, Ole; Baaß, Melvin; Schoepflin, Daniel; Schüppstuhl, Thorsten
  Procedia CIRP 107: 1101-1106 (2022)
  Open Access | Verlags DOI

2021

• Configuration and enablement of vision sensor solutions through a combined simulation based process chain
  Gierecker, Johann; Schoepflin, Daniel; Schmedemann, Ole; Schüppstuhl, Thorsten
  6. MHI-Fachkolloquium 2021: 313-324
  Open Access | Verlags DOI
• Entwicklung neuer Möglichkeiten der Sensorhandhabung und Messdatenauswertung : Automatisierung in der industriellen Endoskopie
  Bath, Lukas; Schmedemann, Ole; Schüppstuhl, Thorsten
  WT Werkstattstechnik 111 (9): 644-649 (2021)
  Verlags DOI