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
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{Schmitz, Jan-Christoph}; {Tilgner, Stephan}; {Kalischewski, Kathrin}; {Wagner, Daniel}; {Kummert, Anton}
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Hard Real-Time Memory-Management in a Single Clock Cycle on FPGAs
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Lohmann, Simon; Tutsch, Dietmar
Hard Real-Time Memory-Management in a Single Clock Cycle on FPGAs
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Lohmann, Simon; Tutsch, Dietmar
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Lohmann, Simon; Tutsch, Dietmar
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Warmowska, Dominika; Abdalmalak, Kerlos Atia; Mu, Luis Enrique Garc; Raida, Zbynek
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Meyes, Richard; Schneider, Moritz; Meisen, Tobias
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Meyes, Richard; Schneider, Moritz; Meisen, Tobias
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
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Meyes, Richard; Schneider, Moritz; Meisen, Tobias
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
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Meyes, Richard; Schneider, Moritz; Meisen, Tobias
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
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Meyes, Richard; Schneider, Moritz; Meisen, Tobias
How Do You Act? An Empirical Study to Understand Behavior of Deep Reinforcement Learning Agents
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Mues, Malte; Howar, Falk; Gerard, Sebastian
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Mues, Malte; Howar, Falk; Gerard, Sebastian
Identification of spurious labels in machine learning data sets using N-version validation
2020 IEEE 23rd International Conference on Intelligent Transportation Systems (ITSC)
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IEEE International Symposium on Networks, Computers and Communications (ISNCC 2020), Montreal, Kanada
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Malerczyk, Jessica; Lerch, Sabine; Tibken, Bernd; Kummert, Anton
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Meisen, Tobias; Pomp, André; Hoffmann, Max
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Meisen, Tobias; Pomp, André; Hoffmann, Max
Industrial Big Data: Modernes Informationsmanagement in der Produktion
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Meisen, Tobias; Pomp, André; Hoffmann, Max
Industrial Big Data: Modernes Informationsmanagement in der Produktion
In Steven, Marion and Klünder, Timo, Editor, Big Data: Anwendung und Nutzungspotenziale in der Produktion from Moderne Produktion
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Meisen, Tobias; Pomp, André; Hoffmann, Max
Industrial Big Data: Modernes Informationsmanagement in der Produktion
In Steven, Marion and Klünder, Timo, Editor, Big Data: Anwendung und Nutzungspotenziale in der Produktion from Moderne Produktion
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Meisen, Tobias; Pomp, André; Hoffmann, Max
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Hees, Frank; Horn, Gesa; Schönefeld, Kathrin
Integration von Produktion in den urbanen Raum
Nachhaltige Stadt from Jahrbuch / B.A.U.M. e.V
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Hees, Frank; Horn, Gesa; Schönefeld, Kathrin
Integration von Produktion in den urbanen Raum
Nachhaltige Stadt from Jahrbuch / B.A.U.M. e.V
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Hees, Frank; Horn, Gesa; Schönefeld, Kathrin
Integration von Produktion in den urbanen Raum
Nachhaltige Stadt from Jahrbuch / B.A.U.M. e.V
Publisher: ALTOP Verlags- und Vertriebsgesellschaft für umweltfreundliche Produkte mbH, München
2020ISBN: 3925646728