Terahertz-Light Field Camera Prototyp

Light-field cameras record both the brightness and direction of the incident light rays. This spatiodirectional information can be post-processed for a dynamic focal point adjustment and 3-D imaging. Light-field has traditionally been a domain of visible light computational imaging. Our chair is leading the development of light-field methodologies for the THz spectrum, bringing new foundational understanding and hardware capabilities for bridging the terahertz gap.

Currently, we are building the first ever THz light-field camera prototype - which consists of a 3x3 super-array of lens coupled 1k-pixel THz CMOS cameras - in a single package. The CMOS camera chip is presented in the International Solid-State Circuits Conference (ISSCC) 2021. The figure shows the prototype of the light field array. The prototype serves as the hardware platform for the development of light-field based real-time THz 3-D imaging techniques.

Preliminary work:



2021

3188.

Haussmann, N.; Zang, M.; Mease, R.; Schmuelling, B.; Clemens, M.; Bolten, M.
Towards Real-Time Magnetic Dosimetry Simulations for Inductive Charging Systems
COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 41 (3) :878-888
2021
Publisher: Emerald Publishing Limited
ISSN: 0332-1649

3187.

Meyes, Richard; Hütten, Nils; Meisen, Tobias
Transparent and Interpretable Failure Prediction of Sensor Time Series Data with Convolutional Neural Networks
Procedia CIRP, 104 :1446—1451
2021
ISSN: 22128271

3186.

Goubeaud, Maxime; Joußen, Philipp; Gmyrek, Nicolla; Ghorban, Farzin; Schelkes, Lucas; Kummert, Anton
Using Variational Autoencoder to augment Sparse Time series Datasets
2021 7th International Conference on Optimization and Applications (ICOA), Page 1-6
2021

3185.

Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021

ISBN: 978-989-758-509-8

3184.

Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021

ISBN: 978-989-758-509-8

3183.

Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021

ISBN: 978-989-758-509-8

3182.

Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021

ISBN: 978-989-758-509-8

3181.

Langer, Tristan; Meisen, Tobias
Visual Analytics for Industrial Sensor Data Analysis
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 584—593
Publisher: SciTePress
2021

ISBN: 978-989-758-509-8

3180.

Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021

ISBN: 978-1-6654-3410-2

3179.

Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021

ISBN: 978-1-6654-3410-2

3178.

Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021

ISBN: 978-1-6654-3410-2

3177.

Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021

ISBN: 978-1-6654-3410-2

3176.

Bitter, Christian; Tercan, Hasan; Meisen, Tobias; Bodnar, Todd; Meisen, Philipp
When to Message: Investigating User Response Prediction with Machine Learning for Advertisement Emails
2021 4th International Conference on Artificial Intelligence for Industries (AI4I), Page 25—29
Publisher: IEEE
2021

ISBN: 978-1-6654-3410-2

3175.

Goubeaud, Maxime; Joußen, Philipp; Gmyrek, Nicolla; Ghorban, Farzin; Kummert, Anton
White Noise Windows: Data Augmentation for Time Series
2021 7th International Conference on Optimization and Applications (ICOA), Page 1-5
2021

3174.

Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen f\"ur Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
November 2021

3173.

Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen für Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
November 2021

3172.

Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen für Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123—131
Publisher: Springer-Vieweg
November 2021

3171.

Farooghi, Dena; Beitz, Bernard; Awad, Bayan; Tutsch, Dietmar
Zeitoptimierungsuntersuchungen für Algorithmen des maschinellen Lernens
Echtzeit 2021, Boppard/Germany, GI, Page 123--131
Publisher: Springer-Vieweg
2021
2020

3170.

Tiemann, M.; Clemens, M.; Schmuelling, B.
Comparison of Conventional and Magnetizable Concrete Core Designs in Wireless Power Transfer for Electric Vehicles
IEEE PELS Workshop on Emerging Technologies: Wireless Power Transfer (WoW 2020),
Seoul, Korea
December 2020

3169.

Weisbach, M.; Fechtner, H.; Popp, A.; Spaeth, U.; Schmuelling, B.
Agriculture 4.0 - A state of the art review focused on electric mobility
Revista Ciência Agronômica, 51 (5)
December 2020

3168.

Weisbach, M.; Spaeth, U.; Ghobadi, M.; Schmuelling, B.
Power Demand Prediction of Battery Overhead Line Buses Based on a Neural Network Optimization
IEEE Green Technologies Conference (GreenTech 2020),
Oklahoma City, USA
December 2020

3167.

Wallenstein, Yannik
Entwicklung und Implementierung eines Line Impedance Stabilization Networks (LISN) bei induktiven Ladesystemen für Elektrofahrzeuge
Master-Thesis
December 2020

3166.

Rak, Michael
Erstellung einer Machbarkeitsanalyse von dynamisch induktiven Ladesystemen für Elektrofahrzeuge
Master-Thesis
December 2020

3165.

Makhlouf, Sumer; Steeg, Matthias; Haddad, Thomas; Tebart, Jonas; Dülme, Sebastian; Grzeslo, Marcel; Lu, Peng; Estévez, Jose Luis Fernández; Malz, Stefan; Pfeiffer, Ullrich R.; Stöhr, Andreas
Novel 3-D Multilayer Terahertz Packaging Technology for Integrating Photodiodes Arrays and Rectangular Waveguide-Power Combiners
IEEE Transactions on Microwave Theory and Techniques, 68 (11) :4611-4619
November 2020

3164.

Weisbach, M.; Spaeth, U.; Schmuelling, B.; Troullier, C.
Flexible EV Charging Strategy for a DC Catenary Grid
Fifteenth International Conference on Ecological Vehicles and Renewable Energies (EVER),
Monte-Carlo, Monaco
November 2020