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:
- 2021
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Dierl, S.; Howar, Falk; Mues, Malte; Naujokat, S.; Schallau, T.
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157—169ISBN: 978-3-030-70295-3
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Scheiderer, Christian; Dorndorf, Nik; Meisen, Tobias
Effects of Domain Randomization on Simulation-to-Reality Transfer of Reinforcement Learning Policies for Industrial Robots
Advances in Artificial Intelligence and Applied Cognitive Computing from Springer eBook Collection
Page 157—169
Publisher: Springer International Publishing and Imprint Springer, Cham
2021
157—169ISBN: 978-3-030-70295-3
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Scheiderer, Christian; Dorndorf, Nik; Meisen, Tobias
Effects of Domain Randomization on Simulation-to-Reality Transfer of Reinforcement Learning Policies for Industrial Robots
Advances in Artificial Intelligence and Applied Cognitive Computing from Springer eBook Collection
Page 157—169
Publisher: Springer International Publishing and Imprint Springer, Cham
2021
157—169ISBN: 978-3-030-70295-3
3316.
Scheiderer, Christian; Dorndorf, Nik; Meisen, Tobias
Effects of Domain Randomization on Simulation-to-Reality Transfer of Reinforcement Learning Policies for Industrial Robots
Advances in Artificial Intelligence and Applied Cognitive Computing from Springer eBook Collection
Page 157—169
Publisher: Springer International Publishing and Imprint Springer, Cham
2021
157—169ISBN: 978-3-030-70295-3
3315.
Scheiderer, Christian; Dorndorf, Nik; Meisen, Tobias
Effects of Domain Randomization on Simulation-to-Reality Transfer of Reinforcement Learning Policies for Industrial Robots
Advances in Artificial Intelligence and Applied Cognitive Computing from Springer eBook Collection
Page 157—169
Publisher: Springer International Publishing and Imprint Springer, Cham
2021
157—169ISBN: 978-3-030-70295-3
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Haussmann, N.; Zang, M.; Stroka, S.; Mease, R.; Schmuelling, B.; Clemens, M.
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Jaeger, Jan-Gerrit; Tutsch, Dietmar
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Kasolis, F.; Clemens, M.
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Energy-Variation Analysis and Orbit Complexity Quantification
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Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Erzeugung von synthetischen Seitensichtsonar-Bildern mittels Generative Adversarial Networks
Hydrographische Nachrichten (119) :30—34
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Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Erzeugung von synthetischen Seitensichtsonar-Bildern mittels Generative Adversarial Networks
Hydrographische Nachrichten (119) :30—34
2021
ISSN: 1866-92043308.
Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Erzeugung von synthetischen Seitensichtsonar-Bildern mittels Generative Adversarial Networks
Hydrographische Nachrichten (119) :30—34
2021
ISSN: 1866-92043307.
Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Erzeugung von synthetischen Seitensichtsonar-Bildern mittels Generative Adversarial Networks
Hydrographische Nachrichten (119) :30—34
2021
ISSN: 1866-92043306.
Steiniger, Yannik; Stoppe, Jannis; Kraus, Dieter; Meisen, Tobias
Erzeugung von synthetischen Seitensichtsonar-Bildern mittels Generative Adversarial Networks
Hydrographische Nachrichten (119) :30—34
2021
ISSN: 1866-92043305.
Tercan, Hasan; Bitter, Christian; Bodnar, Todd; Meisen, Philipp; Meisen, Tobias
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application
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2021ISBN: 978-989-758-509-8
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Tercan, Hasan; Bitter, Christian; Bodnar, Todd; Meisen, Philipp; Meisen, Tobias
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 610—617
Publisher: SciTePress
2021ISBN: 978-989-758-509-8
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Tercan, Hasan; Bitter, Christian; Bodnar, Todd; Meisen, Philipp; Meisen, Tobias
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 610—617
Publisher: SciTePress
2021ISBN: 978-989-758-509-8
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Tercan, Hasan; Bitter, Christian; Bodnar, Todd; Meisen, Philipp; Meisen, Tobias
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application
Proceedings of the 23rd International Conference on Enterprise Information Systems, Page 610—617
Publisher: SciTePress
2021ISBN: 978-989-758-509-8
3301.
Tercan, Hasan; Bitter, Christian; Bodnar, Todd; Meisen, Philipp; Meisen, Tobias
Evaluating a Session-based Recommender System using Prod2vec in a Commercial Application
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In Filipe, Joaquim and Śmiałek, Michał and Brodsky, Alexander and Hammoudi, Slimane, Editor
Publisher: SciTePress - Science and and Technology Publications, Setúbal, Portugal
2021ISBN: 978-989-758-509-8
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Kratz, Sascha; Krüger, Benjamin; Wegener, Ralf; Soter, Stefan
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Maack, Robert F.; Tercan, Hasan; Solvay, Alexia F.; Mieth, Maximilian; Meisen, Tobias
Fault Detection in Railway Switches using Deformable Convolutional Neural Networks
2021 IEEE 19th International Conference on Industrial Informatics (INDIN), Page 1—6
Publisher: IEEE
2021ISBN: 978-1-7281-4395-8
