Deep learning for brake squeal: vibration detection, characterization and prediction. - Merten Stender; Merten Tiedemann; David Spieler; Daniel Schoepflin 002; Norbert P. Hoffmann; Sebastian Oberst (CoRR, 2020)

Visual AI Applications on Smart Delivery Units. - Daniel Schoepflin 002; Özge Albayrak; Piet Scheffler; Arne Wendt; Martin Gomse; Thorsten Schüppstuhl (GCAIoT, 2021)

Industrial Segment Anything - a Case Study in Aircraft Manufacturing, Intralogistics, Maintenance, Repair, and Overhaul. - Keno Moenck; Arne Wendt; Philipp Prünte; Julian Koch; Arne Sahrhage; Johann Gierecker; Ole Schmedemann; Falko Kähler; Dirk Holst; Martin Gomse; Thorsten Schüppstuhl; Daniel Schoepflin 002 (CoRR, 2023)

Towards Recognition of Human Actions in Collaborative Tasks with Robots: Extending Action Recognition with Tool Recognition Methods. - Lukas Büsch; Julian Koch; Daniel Schoepflin 002; Michelle Schulze; Thorsten Schüppstuhl (Sensors, 2023)

A Comparative Study of Visual Identification Methods for Highly Similar Engine Tubes in Aircraft Maintenance, Repair and Overhaul. - Philipp Prünte; Daniel Schoepflin 002; Thorsten Schüppstuhl (Sensors, 2023)