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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Platte, Laura; Schönefeld, Kathrin; Hees, Frank
Künstliche Intelligenz in der Produktionstechnik - eine Kränkung des Ingenieurs?
Ferrum : Nachrichten aus der Eisenbibliothek, Stiftung der Georg (91) :94—101
20192729.
Platte, Laura; Schönefeld, Kathrin; Hees, Frank
Künstliche Intelligenz in der Produktionstechnik - eine Kränkung des Ingenieurs?
Ferrum : Nachrichten aus der Eisenbibliothek, Stiftung der Georg (91) :94—101
20192728.
Platte, Laura; Schönefeld, Kathrin; Hees, Frank
Künstliche Intelligenz in der Produktionstechnik - eine Kränkung des Ingenieurs?
Ferrum : Nachrichten aus der Eisenbibliothek, Stiftung der Georg (91) :94—101
20192727.
Platte, Laura; Schönefeld, Kathrin; Hees, Frank
Künstliche Intelligenz in der Produktionstechnik - eine Kränkung des Ingenieurs?
Ferrum : Nachrichten aus der Eisenbibliothek, Stiftung der Georg (91) :94—101
20192726.
Kolonko, L.; Velten, J.; Kummert, A.
Live Demonstration: 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), Page 1-1
20192725.
Vosen, Mirco
Machbarkeitsstudie zu verschiedenen Ansätzen statischer Zuladungserkennung bei Gelenkbussen für die Präzisierung der Reichweitenprädiktion
Master-Thesis
January 20192724.
Haberstroh, Max C.; Sauer, Julia; Pomp, André; Kirmse, Andreas; Meisen, Tobias; Hees, Frank; Jeschke, Sabina
Method to Create a VR Event by Evaluating Third Party Information and Re-Providing the Processed Information in Real-Time
(United States Patent Application 20190213423)
20192723.
Haberstroh, Max C.; Sauer, Julia; Pomp, André; Kirmse, Andreas; Meisen, Tobias; Hees, Frank; Jeschke, Sabina
Method to Create a VR Event by Evaluating Third Party Information and Re-Providing the Processed Information in Real-Time
(United States Patent Application 20190213423)
20192722.
Haberstroh, Max C.; Sauer, Julia; Pomp, André; Kirmse, Andreas; Meisen, Tobias; Hees, Frank; Jeschke, Sabina
Method to Create a VR Event by Evaluating Third Party Information and Re-Providing the Processed Information in Real-Time
(United States Patent Application 20190213423)
20192721.
Haberstroh, Max C.; Sauer, Julia; Pomp, André; Kirmse, Andreas; Meisen, Tobias; Hees, Frank; Jeschke, Sabina
Method to Create a VR Event by Evaluating Third Party Information and Re-Providing the Processed Information in Real-Time
(United States Patent Application 20190213423)
20192720.
Haberstroh, Max C.; Sauer, Julia; Pomp, André; Kirmse, Andreas; Meisen, Tobias; Hees, Frank; Jeschke, Sabina
Method to Create a VR Event by Evaluating Third Party Information and Re-Providing the Processed Information in Real-Time
(United States Patent Application 20190213423)
20192719.
Alsayegh, M.; Schmuelling, B.; Clemens, M.
Misalignment Influence on Resonance Shielding in Wireless Power Transfer for Electric Vehicles
2019 IEEE Wireless Power Transfer Conference (IEEE WPTC'2019), London, UK, 17.-23.06.2019. Digest paper, submitted
20192718.
Krause, Michael; Michalik, David; Kummert, Anton; Kohl, Per; Treichel, Heinz-Reiner
Mobilit
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20192717.
Samsonov, Vladimir; Lipp, Johannes; Noodt, Philipp; Fenollar Solvay, Alexia; Meisen, Tobias
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing
Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019)
Publisher: IEEE
20192716.
Samsonov, Vladimir; Lipp, Johannes; Noodt, Philipp; Fenollar Solvay, Alexia; Meisen, Tobias
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing
Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019)
Publisher: IEEE
20192715.
Samsonov, Vladimir; Lipp, Johannes; Noodt, Philipp; Fenollar Solvay, Alexia; Meisen, Tobias
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing
Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019)
Publisher: IEEE
20192714.
Samsonov, Vladimir; Lipp, Johannes; Noodt, Philipp; Fenollar Solvay, Alexia; Meisen, Tobias
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing
Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019)
Publisher: IEEE
20192713.
Samsonov, Vladimir; Lipp, Johannes; Noodt, Philipp; Fenollar Solvay, Alexia; Meisen, Tobias
More Machine Learning for Less: Comparing Data Generation Strategies in Mechanical Engineering and Manufacturing
Proceedings of the 2019 IEEE Symposium Series on Computational Intelligence (SSCI 2019)
Publisher: IEEE
20192712.
Baer, Schirin; Bakakeu, Jupiter; Meyes, Richard; Meisen, Tobias
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems
2019 Second IEEE International Conference on Artificial Intelligence for Industries, Page 22—25
Publisher: IEEE-Computer-Society, Los Alamitos, CA
2019ISBN: 978-1-7281-4087-2
2711.
Baer, Schirin; Bakakeu, Jupiter; Meyes, Richard; Meisen, Tobias
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems
2019 Second IEEE International Conference on Artificial Intelligence for Industries, Page 22—25
Publisher: IEEE-Computer-Society, Los Alamitos, CA
2019ISBN: 978-1-7281-4087-2
2710.
Baer, Schirin; Bakakeu, Jupiter; Meyes, Richard; Meisen, Tobias
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems
2019 Second IEEE International Conference on Artificial Intelligence for Industries, Page 22—25
Publisher: IEEE-Computer-Society, Los Alamitos, CA
2019ISBN: 978-1-7281-4087-2
2709.
Baer, Schirin; Bakakeu, Jupiter; Meyes, Richard; Meisen, Tobias
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems
2019 Second IEEE International Conference on Artificial Intelligence for Industries, Page 22—25
Publisher: IEEE-Computer-Society, Los Alamitos, CA
2019ISBN: 978-1-7281-4087-2
2708.
Baer, Schirin; Bakakeu, Jupiter; Meyes, Richard; Meisen, Tobias
Multi-Agent Reinforcement Learning for Job Shop Scheduling in Flexible Manufacturing Systems
2019 Second IEEE International Conference on Artificial Intelligence for Industries, Page 22—25
Publisher: IEEE-Computer-Society, Los Alamitos, CA
2019ISBN: 978-1-7281-4087-2
2707.
Tilgner, S.; Wagner, D.; Kalischewski, K.; Velten, J.; Kummert, A.
Multi-View Fusion Neural Network with Application in the Manufacturing Industry
2019 IEEE International Symposium on Circuits and Systems (ISCAS), Page 1-5
20192706.
Mounaix, Patrick; Quentin, Cassar; MacGrogan, Gaëtan; Pfeiffer, Ullrich; Zimmer, Thomas; Guillet, Jean-Paul
Near field and far field investigations on breast cancer tissus
Smart NanoMaterials 2019: Advances, Innovation and Applications
Publisher: Paris, France
December 2019
