Sven Lange, M.Sc.
Research Associate
Near-field scanner, localization and AI applications
- E-Mail:
- lange@sensorik.uni-paderborn.de
- Phone:
- +49 5251 60-5643
- Web:
- Homepage
- Office Address:
-
Pohlweg 47-49
33098 Paderborn - Room:
- P6.2.3
Publications
Latest Publications
Characterization of Various Environmental Influences on the Inductive Localization
S. Lange, U. Hilleringmann, C. Hedayat, H. Kuhn, J. Förstner, in: 2023 IEEE Conference on Antenna Measurements and Applications (CAMA), IEEE, Genoa, Italy , 2023.
AI Assisted Interference Classification to Improve EMC Troubleshooting in Electronic System Development
J. Maalouly, D. Hemker, C. Hedayat, C. Rückert, I. Kaufmann, M. Olbrich, S. Lange, H. Mathis, in: 2022 Kleinheubach Conference, IEEE, Miltenberg, Germany, 2022.
Modeling and Characterization of a 3D Environment for the Design of an Inductively Based Locating Method by Coil Couplings
S. Lange, C. Hedayat, H. Kuhn, U. Hilleringmann, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.
Detection of Defects on Irregularly Structured Surfaces using Supervised and Semi-Supervised Learning Methods
T. Sander, S. Lange, U. Hilleringmann, V. Geneiß, C. Hedayat, H. Kuhn, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.
Far-field Calculation from magnetic Huygens Box Data using the Boundary Element Method
Show all publications
C. Marschalt, D. Schroder, S. Lange, U. Hilleringmann, C. Hedayat, H. Kuhn, D. Sievers, J. Förstner, in: 2022 Smart Systems Integration (SSI), IEEE, Grenoble, France, 2022.