Terahertz Lichtfeld Kamera Prototyp

Seitliche Ansicht der THz-Lichtfeld Kamera

Seitliche Ansicht der THz-Lichtfeld Kamera

Lichtfeld-Kameras nehmen sowohl die Intensität, als auch die Richtung des einfallenden Lichtes auf. Dadurch ermöglichen Sie eine dynamische Fokuspunkt-Einstellung und damit die Generierung von 3-D Bildern. Ursprünglich wurde das Konzept der Lichtfeld-Bildgebung im sichtbaren Bereich des Spektrums realisiert. Unser Lehrstuhl ist führend in der Entwicklung von Lichtfeld-Verfahren für das THz Spektrum, wodurch fundamentales Verständnis gefördert und neue Hardware entwickelt wird um das THz Band zu erschließen.

Zurzeit forschen wir an einem THz-Lichtfeld-Kamera Prototypen, der aus einer 3x3 Matrix von Linsen-gekoppelten 1k-Pixel THz CMOS Kameras besteht, integriert auf einem PCB. Der CMOS Kamera Chip wurde auf der International Solid-State Circuits Conference (ISSCC) 2021 präsentiert. Die Abbildung zeigt den Prototypen der Lichtfeld-Kamera. Dieser Prototyp dient als Hardware-Plattform für die Entwicklung von THz-Lichtfeld 3-D Bildgebungsverfahren in Echtzeit.

Vorangegangene Arbeiten



2019

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Warmowska, Dominika; Abdalmalak, Kerlos Atia; Mu, Luis Enrique Garc; Raida, Zbynek
A Compact Circularly Polarized High-Gain Antenna Array for Ka-Band CubeSats Applications
2019 IEEE-APS Topical Conference on Antennas and Propagation in Wireless Communications (APWC), Seite 178-180
2019

2870.

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), Seite 1—4
Herausgeber: IEEE
2019

2869.

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), Seite 1—4
Herausgeber: IEEE
2019

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), Seite 1—4
Herausgeber: IEEE
2019

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), Seite 1—4
Herausgeber: IEEE
2019

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), Seite 1—4
Herausgeber: IEEE
2019

2865.

Maus, Gerrit; Kuxdorf-Alkirata, Nizam; Brückmann, Dieter; Gemci, Mustafa
A low-cost {BLE} based sensor platform for efficient Received Signal Strength monitoring
2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), Seite 1199--1202
2019

2864.

Kolonko, L.; Velten, J.; Kummert, A.
A Raspberry Pi Based Video Pipeline for 2-D Wave Digital Filters on Low-Cost FPGA Hardware
2019 IEEE International Symposium on Circuits and Systems (ISCAS), Seite 1-5
2019

2863.

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

2862.

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

2861.

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

2860.

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

2859.

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

2858.

Barta, Max; Farooghi, Dena; Tutsch, Dietmar
A System for User Centered Classification and Ranking of Points of Interest using Data Mining in Geographical Data Sets
10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019) -- Advances in Artificial Intelligence, Software and Systems Engineering, Washington D.C., USA, Seite 571--579
Herausgeber: Springer-Verlag
2019

2857.

Barta, Max; Farooghi, Dena; Tutsch, Dietmar
A System for User Centered Classification and Ranking of Points of Interest using Data Mining in Geographical Data Sets
10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019) -- Advances in Artificial Intelligence, Software and Systems Engineering, Washington D.C., USA, Seite 571--579
Herausgeber: Springer-Verlag
Juli 2019

2856.

Barta, Max; Farooghi, Dena; Tutsch, Dietmar
A System for User Centered Classification and Ranking of Points of Interest using Data Mining in Geographical Data Sets
10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019) — Advances in Artificial Intelligence, Software and Systems Engineering, Washington D.C., USA, Seite 571—579
Herausgeber: Springer-Verlag
Juli 2019

2855.

Barta, Max; Farooghi, Dena; Tutsch, Dietmar
A System for User Centered Classification and Ranking of Points of Interest using Data Mining in Geographical Data Sets
10th International Conference on Applied Human Factors and Ergonomics (AHFE 2019) -- Advances in Artificial Intelligence, Software and Systems Engineering, Washington D.C., USA, Seite 571--579
Herausgeber: Springer-Verlag
Juli 2019

2854.

Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
2019

2853.

Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
2019

2852.

Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
2019

2851.

Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
2019

2850.

Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies in Artificial Neural Networks
arXiv arXiv:1901.08644
2019

2849.

Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks
Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI)
2019

2848.

Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks
Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI)
2019

2847.

Meyes, Richard; Lu, Melanie; Waubert-de-Puiseau, Constantin; Meisen, Tobias
Ablation Studies to Uncover Structure of Learned Representations in Artificial Neural Networks
Proceedings of the 2019 International Conference on Artificial Intelligence (ICAI)
2019