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

2959.

Burgdorf, Andreas; Pomp, André; Meisen, Tobias
Towards NLP-supported Semantic Data Management
arXiv preprint arXiv:2005.06916
2020

2958.

Burgdorf, Andreas; Pomp, André; Meisen, Tobias
Towards NLP-supported Semantic Data Management
arXiv preprint arXiv:2005.06916
2020

2957.

Burgdorf, Andreas; Pomp, André; Meisen, Tobias
Towards NLP-supported Semantic Data Management
arXiv preprint arXiv:2005.06916
2020

2956.

Burgdorf, Andreas; Pomp, André; Meisen, Tobias
Towards NLP-supported Semantic Data Management
arXiv preprint arXiv:2005.06916
2020

2955.

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

2954.

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

2953.

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

2952.

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

2951.

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

2950.

Kähne, B.; Clemens, M.
Transient Magneto-Quasistatic Simulations Using Semi-Explicit Time Integration with Higher Order Schemes
XXVI Symposium Electromagnetic Phenomena in Nonlinear Circuits (EPNC 2020), 30.06.-03.07.2020, Torino, Italy. Two page digest.
2020

2949.

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

2948.

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

2947.

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

2946.

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

2945.

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

2944.

Treichel, Heinz-Reiner; Krause, Michael; Michalik, David; Kohl, Per
User-driven development (UDD): Ans
In Proff, Heike, Editor, Neue Dimensionen der Mobilit
Page 433--448
Publisher: Springer Fachmedien Wiesbaden
2020
433--448

ISBN: 978-3-658-29745-9 978-3-658-29746-6

2943.

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

2942.

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

2941.

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

2940.

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

2939.

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
2019

2938.

Hillger, Philipp; Grzyb, Janusz; Jain, Ritesh; Pfeiffer, Ullrich R.
Terahertz Imaging and Sensing Applications With Silicon-Based Technologies
IEEE Transactions on Terahertz Science and Technology, 9 (1) :1-19
December 2019

2937.

Choungo, Arsene Momo
Entwicklung eines vernetzten Beschleunigungssensors für den BOB
Bachelor-Thesis
December 2019

2936.

Mounaix, Patrick; Quentin, Cassar; MacGrogan, Gaëtan; Pfeiffer, Ullrich; Zimmer, Thomas; Guilet, Jean Paul
Smart NanoMaterials 2019: Advances, Innovation and Applications
Chapter Near field and far field investigations on breast cancer tissus, Page 1-2
Publisher: HAL
December 2019
1-2

2935.

Alsayegh, M.; Burkert, A.; Clemens, M.; Schmuelling, B.
Comparison of Misalignment Impact on Multi-Coil Transmitters in Wireless Transfer Systems for Electric Vehicles
IEEE 21st Conference on Power Electronics and Applications (EPE 2019 ECCE Europe),
November 2019