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:
- 2019
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Hansen, Matthias
Optimierung einer bestehenden Visualisierungslösung für moderne Messeinrichtungen im Hinblick auf unterschiedliche Anwendungsszenarien
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April 20192883.
Fechtner, H.; Schmuelling, B.
Improved Range Prediction for Electric Vehicles by a Smart Tire Pressure Monitoring System
IEEE Conference on Technologies for Sustainability (SusTech 2018),
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Koca, Aysenur
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Gluchowski, Martin
Machbarkeitsstudie zum speichergestützten Lastausgleich im Rahmen der ÖPNV-Elektrifizierung - Am Beispiel des Solinger Nahverkehrsnetzes
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February 20192878.
Alsayegh, M.; Saifo, M.; Clemens, M.; Schmuelling, B.
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Hillger, P.; Jain, R.; Grzyb, J.; Mavarani, L.; Mac Grogan, G.; Mounaix, P.; Zimmer, T.
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2018 Jan Van Vessem Award for Outstanding European Paper, ISSCC 2019, San Francisco, USA
February 20192876.
Gutic, Albedin
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Vazquez, Pedro Rodriguez; Grzyb, Janusz; Heinemann, Bernd; Pfeiffer, Ullrich R.
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Siegismund, Luca
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2019 2nd International Conference on Smart Grid and Renewable Energy (SGRE)
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Warmowska, Dominika; Abdalmalak, Kerlos Atia; Mu, Luis Enrique Garc; Raida, Zbynek
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Haßler, Marc; Burgdorf, Andreas; Pomp, André; Kohlschein, Christian; Busing, Christina; Jonas, Stephan
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2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom), Page 1—4
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Haßler, Marc; Burgdorf, Andreas; Pomp, André; Kohlschein, Christian; Busing, Christina; Jonas, Stephan
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment
2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom), Page 1—4
Publisher: IEEE
2019ISBN: 978-1-7281-0402-7
2868.
Haßler, Marc; Burgdorf, Andreas; Pomp, André; Kohlschein, Christian; Busing, Christina; Jonas, Stephan
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment
2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom), Page 1—4
Publisher: IEEE
2019ISBN: 978-1-7281-0402-7
2867.
Haßler, Marc; Burgdorf, Andreas; Pomp, André; Kohlschein, Christian; Busing, Christina; Jonas, Stephan
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment
2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom), Page 1—4
Publisher: IEEE
2019ISBN: 978-1-7281-0402-7
2866.
Haßler, Marc; Burgdorf, Andreas; Pomp, André; Kohlschein, Christian; Busing, Christina; Jonas, Stephan
A Holistic System for Pre-clinical Diagnosis of Sleep Disorders in the Home Environment
2019 IEEE International Conference on E-health Networking, Application & Services (HealthCom), Page 1—4
Publisher: IEEE
2019ISBN: 978-1-7281-0402-7
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Maus, Gerrit; Kuxdorf-Alkirata, Nizam; Brückmann, Dieter; Gemci, Mustafa
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Kolonko, L.; Velten, J.; Kummert, A.
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Meyes, Richard; Donauer, Johanna; Schmeing, Andre; Meisen, Tobias
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
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Meyes, Richard; Donauer, Johanna; Schmeing, Andre; Meisen, Tobias
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34 :789—797
2019
ISSN: 2351-97892861.
Meyes, Richard; Donauer, Johanna; Schmeing, Andre; Meisen, Tobias
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34 :789—797
2019
ISSN: 2351-97892860.
Meyes, Richard; Donauer, Johanna; Schmeing, Andre; Meisen, Tobias
A Recurrent Neural Network Architecture for Failure Prediction in Deep Drawing Sensory Time Series Data
Procedia Manufacturing, 34 :789—797
2019
ISSN: 2351-9789
