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
2022ISBN: 978-1-6654-6809-1
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
2022ISBN: 978-1-6654-6809-1
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
2022ISBN: 978-1-6654-6809-1
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
2022ISBN: 978-1-6654-6809-1
3466.
Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
20223465.
Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
20223464.
Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
20223463.
Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
20223462.
Bitter, Christian; Thun, Timo; Meisen, Tobias
Karolos: An Open-Source Reinforcement Learning Framework for Robot-Task Environments
arXiv arXiv:2212.00906
20223461.
KuVS Fachgespräch - Würzburg Workshop on Next-Generation Communication Networks (WüWoWAS'22), Würzburg
20223460.
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
20223459.
Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-55153458.
Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-55153457.
Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-55153456.
Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-55153455.
Tercan, Hasan; Meisen, Tobias
Machine learning and deep learning based predictive quality in manufacturing: a systematic review
Journal of Intelligent Manufacturing
2022
ISSN: 0956-55153454.
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: 0332-16493453.
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
20223452.
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
20223451.
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
20223450.
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
20223449.
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
20223448.
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, 2379-91533447.
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
20223446.
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