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



2024

4009.

Iqbal, Muhammad Amjad; Heredia Conde, Miguel; Anghel, Andrei; Datcu, Mihai
Coarse-to-fine Estimation: Compressive Sensing for High-Resolution Inverse SAR Imaging
EUSAR 2024; 15th European Conference on Synthetic Aperture Radar, Seite 1360-1365
2024

4008.

Iqbal, Muhammad Amjad; Heredia Conde, Miguel; Anghel, Andrei; Datcu, Mihai
Coarse-to-fine Estimation: Compressive Sensing for High-Resolution Inverse SAR Imaging
EUSAR 2024; 15th European Conference on Synthetic Aperture Radar, Seite 1360-1365
2024

4007.

Iqbal, Muhammad Amjad; Heredia Conde, Miguel; Anghel, Andrei; Datcu, Mihai
Coarse-to-fine Estimation: Compressive Sensing for High-Resolution Inverse SAR Imaging
EUSAR 2024; 15th European Conference on Synthetic Aperture Radar, Seite 1360-1365
2024

4006.

Kutaish, Abdulraouf; Heredia Conde, Miguel; Pfeiffer, Ullrich
Coarse-to-Fine Sparse 3-D Reconstruction in THz Light Field Imaging
IEEE Sensors Letters, 8 (10) :1-4
2024

4005.

Kutaish, Abdulraouf; Heredia Conde, Miguel; Pfeiffer, Ullrich
Coarse-to-Fine Sparse 3-D Reconstruction in THz Light Field Imaging
IEEE Sensors Letters, 8 (10) :1-4
2024

4004.

Kutaish, Abdulraouf; Heredia Conde, Miguel; Pfeiffer, Ullrich
Coarse-to-Fine Sparse 3-D Reconstruction in THz Light Field Imaging
IEEE Sensors Letters, 8 (10) :1-4
2024

4003.

Lopez Paredes, Alvaro; Gutierrez-Barragan, Felipe; Heredia Conde, Miguel
Coherence, Distance and Error: Understanding Coded Demodulation in PB-ToF Imaging
2024 International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging (CoSeRa), Seite 112-116
2024

4002.

Lopez Paredes, Alvaro; Gutierrez-Barragan, Felipe; Heredia Conde, Miguel
Coherence, Distance and Error: Understanding Coded Demodulation in PB-ToF Imaging
2024 International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging (CoSeRa), Seite 112-116
2024

4001.

Lopez Paredes, Alvaro; Gutierrez-Barragan, Felipe; Heredia Conde, Miguel
Coherence, Distance and Error: Understanding Coded Demodulation in PB-ToF Imaging
2024 International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging (CoSeRa), Seite 112-116
2024

4000.

Lal, Bharat; Das, Khushal; Conde, Miguel Heredia; Corsonello, Pasquale; Gravina, Raffaele
Comparative Analysis of Compressive Sensing Reconstruction Algorithms for ECG Signals
2024 International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging (CoSeRa), Seite 71-75
2024

3999.

Lal, Bharat; Das, Khushal; Conde, Miguel Heredia; Corsonello, Pasquale; Gravina, Raffaele
Comparative Analysis of Compressive Sensing Reconstruction Algorithms for ECG Signals
2024 International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging (CoSeRa), Seite 71-75
2024

3998.

Lal, Bharat; Das, Khushal; Conde, Miguel Heredia; Corsonello, Pasquale; Gravina, Raffaele
Comparative Analysis of Compressive Sensing Reconstruction Algorithms for ECG Signals
2024 International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging (CoSeRa), Seite 71-75
2024

3997.

Hensel, H.; Clemens, M.
Comparison of Simulations of the Gas Conduction in HVDC GIL by Application of Nonlinear Conductivity Model and Ion-Drift-Diffusion Model
COMPEL, ahead-of-print
01 2024
Herausgeber: Emerald Publishing Limited
ISSN: 0332-1649

3996.

Heredia Conde, Miguel; Kutaish, Abdulraouf; Pfeiffer, Ullrich
Coupled Basis Pursuit for 3D Terahertz Video Reconstruction
2024 58th Asilomar Conference on Signals, Systems, and Computers
2024

3995.

Heredia Conde, Miguel; Kutaish, Abdulraouf; Pfeiffer, Ullrich
Coupled Basis Pursuit for 3D Terahertz Video Reconstruction
2024 58th Asilomar Conference on Signals, Systems, and Computers
2024

3994.

Heredia Conde, Miguel; Kutaish, Abdulraouf; Pfeiffer, Ullrich
Coupled Basis Pursuit for 3D Terahertz Video Reconstruction
2024 58th Asilomar Conference on Signals, Systems, and Computers
2024

3993.

Puiseau, Constantin Waubert de; Wolz, Fabian; Montag, Merlin; Peters, Jannik; Tercan, Hasan; Meisen, Tobias
Decision Transformer for Enhancing Neural Local Search on the Job Shop Scheduling Problem
2024

3992.

Hütten, Nils; Alves-Gomes, Miguel; Hölken, Florian; Andricevic, Karlo; Meyes, Richard; Meisen, Tobias
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Applied System Innovation, 7 (1) :11
2024

3991.

Hütten, Nils; Alves-Gomes, Miguel; Hölken, Florian; Andricevic, Karlo; Meyes, Richard; Meisen, Tobias
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Applied System Innovation, 7 (1) :11
2024

3990.

Hütten, Nils; Alves Gomes, Miguel; Hölken, Florian; Andricevic, Karlo; Meyes, Richard; Meisen, Tobias
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Applied System Innovation, 7 (1)
2024

3989.

Hütten, Nils; Alves-Gomes, Miguel; Hölken, Florian; Andricevic, Karlo; Meyes, Richard; Meisen, Tobias
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Applied System Innovation, 7 (1) :11
2024

3988.

Hütten, Nils; Alves-Gomes, Miguel; Hölken, Florian; Andricevic, Karlo; Meyes, Richard; Meisen, Tobias
Deep Learning for Automated Visual Inspection in Manufacturing and Maintenance: A Survey of Open- Access Papers
Applied System Innovation, 7 (1) :11
2024

3987.

Braun, Marco; Becker, Adrian; Meuter, Mirko; Roesler, Simon; Kollek, Kevin; Kummert, Anton
Deep Learning Method for Doppler Disambiguation
2024 IEEE International Symposium on Circuits and Systems (ISCAS), Seite 1--5
2024

3986.

Braun, Marco; Becker, Adrian; Meuter, Mirko; Roesler, Simon; Kollek, Kevin; Kummert, Anton
Deep Learning Method for Doppler Disambiguation
2024 IEEE International Symposium on Circuits and Systems (ISCAS), Seite 1-5
2024

3985.

Meusener, Jan-Hendrik; Kollek, Kevin; Krabbe, Jan-Christoph; Kummert, Anton
Developing a Winch for a Low-Cost Cable-Driven Parallel Robot
2024 IEEE International Conference on Smart Mechatronics (ICSMech), Seite 129-135
2024