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:



2020

2930.

Scheiderer, Christian; Mosbach, Malte; Posada-Moreno, Andres Felipe; Meisen, Tobias
Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks
2020 International Conference on Computational Science and Computational Intelligence (CSCI), Page 504—509
Publisher: IEEE
2020

ISBN: 978-1-7281-7624-6

2929.

Scheiderer, Christian; Mosbach, Malte; Posada-Moreno, Andres Felipe; Meisen, Tobias
Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks
2020 International Conference on Computational Science and Computational Intelligence (CSCI), Page 504—509
Publisher: IEEE
2020

ISBN: 978-1-7281-7624-6

2928.

Scheiderer, Christian; Mosbach, Malte; Posada-Moreno, Andres Felipe; Meisen, Tobias
Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks
2020 International Conference on Computational Science and Computational Intelligence (CSCI), Page 504—509
Publisher: IEEE
2020

ISBN: 978-1-7281-7624-6

2927.

Scheiderer, Christian; Mosbach, Malte; Posada-Moreno, Andres Felipe; Meisen, Tobias
Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks
2020 International Conference on Computational Science and Computational Intelligence (CSCI), Page 504—509
Publisher: IEEE
2020

ISBN: 978-1-7281-7624-6

2926.

Scheiderer, Christian; Mosbach, Malte; Posada-Moreno, Andres Felipe; Meisen, Tobias
Transfer of Hierarchical Reinforcement Learning Structures for Robotic Manipulation Tasks
2020 International Conference on Computational Science and Computational Intelligence (CSCI), Page 504—509
Publisher: IEEE
2020

ISBN: 978-1-7281-7624-6

2925.

Kähne, B.; Clemens, M.
Transient Magneto-Quasistatic Simulations Using Semi-Explicit Time Integration with Higher Order Schemes
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2924.

Meyes, Richard; Waubert-de-Puiseau, Constantin; Posada-Moreno, Andres; Meisen, Tobias
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
2020

2923.

Meyes, Richard; Waubert-de-Puiseau, Constantin; Posada-Moreno, Andres; Meisen, Tobias
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
2020

2922.

Meyes, Richard; Waubert-de-Puiseau, Constantin; Posada-Moreno, Andres; Meisen, Tobias
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
2020

2921.

Meyes, Richard; Waubert-de-Puiseau, Constantin; Posada-Moreno, Andres; Meisen, Tobias
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
2020

2920.

Meyes, Richard; Waubert-de-Puiseau, Constantin; Posada-Moreno, Andres; Meisen, Tobias
Under the Hood of Neural Networks: Characterizing Learned Representations by Functional Neuron Populations and Network Ablations
2020

2919.

Treichel, Heinz-Reiner; Krause, Michael; Michalik, David; Kohl, Per
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2020
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ISBN: 978-3-658-29745-9 978-3-658-29746-6

2918.

Pomp, André; Paulus, Alexander; Burgdorf, Andreas; Meisen, Tobias
Verbesserung der Nutzbarkeit von Open Data auf Basis eines semantischen Datenmarktplatzes
OKNRW - ONLINE BARCAMP 2020 Science-Track
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2917.

Pomp, André; Paulus, Alexander; Burgdorf, Andreas; Meisen, Tobias
Verbesserung der Nutzbarkeit von Open Data auf Basis eines semantischen Datenmarktplatzes
OKNRW - ONLINE BARCAMP 2020 Science-Track
Page 14—15
2020
14—15

2916.

Pomp, André; Paulus, Alexander; Burgdorf, Andreas; Meisen, Tobias
Verbesserung der Nutzbarkeit von Open Data auf Basis eines semantischen Datenmarktplatzes
OKNRW - ONLINE BARCAMP 2020 Science-Track
Page 14—15
2020
14—15

2915.

Pomp, André; Paulus, Alexander; Burgdorf, Andreas; Meisen, Tobias
Verbesserung der Nutzbarkeit von Open Data auf Basis eines semantischen Datenmarktplatzes
OKNRW - ONLINE BARCAMP 2020 Science-Track
Page 14—15
2020
14—15

2914.

Pomp, André; Paulus, Alexander; Burgdorf, Andreas; Meisen, Tobias
Verbesserung der Nutzbarkeit von Open Data auf Basis eines semantischen Datenmarktplatzes
OKNRW - ONLINE BARCAMP 2020 Science-Track
Page 14—15
2020
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Hillger, Philipp; Grzyb, Janusz; Jain, Ritesh; Pfeiffer, Ullrich R.
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Choungo, Arsene Momo
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Mounaix, Patrick; Quentin, Cassar; MacGrogan, Gaëtan; Pfeiffer, Ullrich; Zimmer, Thomas; Guilet, Jean Paul
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Alsayegh, M.; Burkert, A.; Clemens, M.; Schmuelling, B.
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Grzyb, Janusz; Andree, Marcel; Jain, Ritesh; Heinemann, Bernd; Pfeiffer, Ullrich R.
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Scholz, T.; Pautzke, F.; Schmuelling, B.
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Baida, Ye. I.; Clemens, M.; Klymenko, B. V.; Korol, O. G.; Pantelyat, M. G.; Pustovoitov, P. Ye.
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