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:



2022

3470.

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Investigating the training of convolutional neural networks with limited sidescan sonar image datasets
OCEANS 2022, Hampton Roads, Page 1—6
Publisher: IEEE
2022

3469.

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Investigating the training of convolutional neural networks with limited sidescan sonar image datasets
OCEANS 2022, Hampton Roads, Page 1—6
Publisher: IEEE
2022

3468.

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Investigating the training of convolutional neural networks with limited sidescan sonar image datasets
OCEANS 2022, Hampton Roads, Page 1—6
Publisher: IEEE
2022

3467.

Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Investigating the training of convolutional neural networks with limited sidescan sonar image datasets
OCEANS 2022, Hampton Roads, Page 1—6
Publisher: IEEE
2022

3466.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3465.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3464.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3463.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3462.

Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
2022

3461.


KuVS Fachgespräch - Würzburg Workshop on Next-Generation Communication Networks (WüWoWAS'22), Würzburg
2022

3460.

Kasolis, F.; Henkel, M.-L.; Clemens, M.
Low-Frequency Stable Electro-Quasistatic Field Formulations Based on Penalty Approximations of Continuous Extensions
11th Conference on the Computation of Electromagnetic Fields (CEM 2023)
Cannes, France
11.-14.04.2023
Publisher: Abstract accepted
2022

3459.

Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-5515

3458.

Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-5515

3457.

Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-5515

3456.

Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-5515

3455.

Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-5515

3454.

Bannenberg, M. W. F. M.; Kasolis, F.; Günther, M.; Clemens, M.
Maximum Entropy Snapshot Sampling for Reduced Basis Modelling
COMPEL - The international journal for computation and mathematics in electrical and electronic engineering, 41 (3) :954-966
2022
Publisher: Emerald Publishing Limited
ISSN: 0332-1649

3453.

Engel, Alexander; Krosch, Kathrin
Menschenzentrierte KI: zu einer Leitkultur für Mensch und Maschine im Spannungsfeld zwischen Kultur, Politik und Wissenschaft
Behemoth from Algorithmen der Alterität - Alterität der Algorithmen
Publisher: Albert-Ludwigs-Universität Freiburg, Freiburg
2022

3452.

Engel, Alexander; Krosch, Kathrin
Menschenzentrierte KI: zu einer Leitkultur für Mensch und Maschine im Spannungsfeld zwischen Kultur, Politik und Wissenschaft
Behemoth from Algorithmen der Alterität - Alterität der Algorithmen
Publisher: Albert-Ludwigs-Universität Freiburg, Freiburg
2022

3451.

Engel, Alexander; Krosch, Kathrin
Menschenzentrierte KI: zu einer Leitkultur für Mensch und Maschine im Spannungsfeld zwischen Kultur, Politik und Wissenschaft
Behemoth from Algorithmen der Alterität - Alterität der Algorithmen
Publisher: Albert-Ludwigs-Universität Freiburg, Freiburg
2022

3450.

Engel, Alexander; Krosch, Kathrin
Menschenzentrierte KI: zu einer Leitkultur für Mensch und Maschine im Spannungsfeld zwischen Kultur, Politik und Wissenschaft
Behemoth from Algorithmen der Alterität - Alterität der Algorithmen
Publisher: Albert-Ludwigs-Universität Freiburg, Freiburg
2022

3449.

Engel, Alexander; Krosch, Kathrin
Menschenzentrierte KI: zu einer Leitkultur für Mensch und Maschine im Spannungsfeld zwischen Kultur, Politik und Wissenschaft
Behemoth from Algorithmen der Alterität - Alterität der Algorithmen
Publisher: Albert-Ludwigs-Universität Freiburg, Freiburg
2022

3448.

Heredia Conde, M.; Kerstein, T.; Buxbaum, B.; Loffeld, O.
Near-Infrared, Depth, Material: Towards a Trimodal Time-of-Flight Camera
IEEE Sensors Journal, 22 (12) :p.11271 - 11279
2022
ISSN: 1530-437X, 1558-1748, 2379-9153

3447.

Hensel, H.; Jörgens, C.; Clemens, M.
Numerical Simulation of Electric Field Distribution in HVDC Gas Insulated Lines Considering a Novel Nonlinear Conductivity Model for SF6
VDE Workshop Hochspannungstechnik (VDE HST 2022)
Berlin, Germany
08.-10.11.2022
2022

3446.

Waubert-de-Puiseau, Constantin; Meyes, Richard; Meisen, Tobias
On reliability of reinforcement learning based production scheduling systems: a comparative survey
Journal of Intelligent Manufacturing, 33 (4) :911—927
2022
ISSN: 0956-5515