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

3196.

Langer, Tristan; Meisen, Tobias
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis
Information, 12 (4) :140
2021

3195.

Langer, Tristan; Meisen, Tobias
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis
Information, 12 (4) :140
2021

3194.

Langer, Tristan; Meisen, Tobias
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis
Information, 12 (4) :140
2021

3193.

Langer, Tristan; Meisen, Tobias
System Design to Utilize Domain Expertise for Visual Exploratory Data Analysis
Information, 12 (4) :140
2021

3192.

Saifo, M.; Ioffe, A.; Clemens, M.
The Effect of Facet Size on the RCS Simulation of an Automotive Radar Target with Curved Surface
14th German Microwave Conference (GeMIC 2022), 16.-18.05.2022, Ulm, Germany. Paper accepted.
2021

3191.

Howar, Falk; Jasper, M.; Mues, Malte; Schmidt, D.; Steffen, B.
The RERS challenge: towards controllable and scalable benchmark synthesis
International Journal on Software Tools for Technology Transfer, 23 (6) :917-930
2021

3190.

Howar, Falk; Jasper, M.; Mues, Malte; Schmidt, D.; Steffen, B.
The RERS challenge: towards controllable and scalable benchmark synthesis
International Journal on Software Tools for Technology Transfer, 23 (6) :917-930
2021

3189.

KrishneGowda, Karthik; Rodríguez-Vázquez, Pedro; Lopacinski, Lukasz; Pfeiffer, Ullrich R.; Grass, Eckhard; Kraemer, Rolf
THz transmission experiments – A data rate of 80 Gbps was demonstrated using Kasami codes
2021 IEEE International Conference on Microwaves, Antennas, Communications and Electronic Systems (COMCAS), Page 163-168
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