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Daniel Schoepflin
Daniel Schoepflin
Institute of Aircraft Production Technology, Hamburg University of Technology
Verified email at tuhh.de - Homepage
Title
Cited by
Cited by
Year
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
65*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
172021
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
122022
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
82022
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
72021
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
42022
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
32023
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
32020
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
22023
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
22021
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
12023
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
12023
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
12022
Daten zur richtigen Zeit am richtigen Ort
D Schoepflin, A Wendt, T Schüppstuhl
Industrial Production 1 (12), 46-47, 2020
12020
INDUSTRY 5.0 IN AIRCRAFT PRODUCTION AND MRO: TECHNOLOGIES, CHALLENGES, AND OPPORTUNITIES
K Moenck, J Koch, JE Rath, L Büsch, J Gierecker, F Kähler, F Kalscheuer, ...
2024
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
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
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