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:
- 2024
3823.
Kutaish, Abdulraouf; Heredia Conde, Miguel; Pfeiffer, Ullrich
Single-Shot Computational THz 3D Imaging
2024 International Workshop on the Theory of Computational Sensing and its Applications to Radar, Multimodal Sensing and Imaging (CoSeRa), Page 81-85
20243822.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
20243821.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
20243820.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
20243819.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
20243818.
Brune, Marvin; Meisen, Tobias; Pomp, André
Survey of Deep Learning-Based Methods for FMCW Radar Odometry and Ego-Localization
Applied Sciences, 14 (6) :2267
20243817.
Bohn, Christian; Freeman, Ido; Tercan, Hasan; Meisen, Tobias
Task Weighting through Gradient Projection for Multitask Learning
20243816.
Lohmann, Simon; Tutsch, Dietmar
The Doubly Linked Tree of Singly Linked Rings: Providing Hard Real-Time Database Operations on an FPGA
Computers; Special Issue Advances in Database Engineered Applications 2023, 13
2024
ISSN: 2073-431X3815.
Hahn, Yannik; Kienitz, Philip; Wönkhaus, Mark; Meyes, Richard; Meisen, Tobias
Towards Accurate Flood Predictions: A Deep Learning Approach Using Wupper River Data
Water, 16 (23)
2024
ISSN: 2073-44413814.
Alves-Gomes, Miguel; Meisen, Philipp; Meisen, Tobias
Towards Lifelong Learning Embeddings: An Algorithmic Approach to Dynamically Extend Embeddings
20243813.
Hoseini, Sayed; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias; Quix, Christoph; Pomp, André
Towards LLM-augmented Creation of Semantic Models for Dataspaces
The Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference
20243812.
Hoseini, Sayed; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias; Quix, Christoph; Pomp, André
Towards LLM-augmented Creation of Semantic Models for Dataspaces
The Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference
20243811.
Hoseini, Sayed; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias; Quix, Christoph; Pomp, André
Towards LLM-augmented Creation of Semantic Models for Dataspaces
The Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference
20243810.
Hoseini, Sayed; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias; Quix, Christoph; Pomp, André
Towards LLM-augmented Creation of Semantic Models for Dataspaces
The Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference
20243809.
Hoseini, Sayed; Burgdorf, Andreas; Paulus, Alexander; Meisen, Tobias; Quix, Christoph; Pomp, André
Towards LLM-augmented Creation of Semantic Models for Dataspaces
The Second International Workshop on Semantics in Dataspaces, co-located with the Extended Semantic Web Conference
20243808.
Ndagijimana, Adolphe; Ederra, Iñigo; Conde, Miguel Heredia
Towards Optimal Binary Patterns for Compressive Terahertz Single-Pixel Imaging
2024 18th European Conference on Antennas and Propagation (EuCAP), Page 1-5
20243807.
Ndagijimana, Adolphe; Conde, Miguel Heredia
Towards Optimal Binary Patterns for Compressive Terahertz Single-Pixel Imaging
2024 18th European Conference on Antennas and Propagation (EuCAP), Page 1-5
20243806.
Andree, Marcel; Grzyb, Janusz; Rücker, Holger; Pfeiffer, Ullrich R.
Towards Passive Imaging with Uncooled, Low-NEP SiGe HBT Terahertz Direct Detectors
IEEE Transactions on Terahertz Science and Technology :1-19
20243805.
Hadwiger, Simon; Kube, David; Lavrik, Vladimir; Meisen, Tobias
Towards Precision in Motion: Investigating the Influences of Curriculum Learning based on a Multi-Purpose Performance Metric for Vision-Based Forklift Navigation
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Page 796—803
Publisher: IEEE
2024ISBN: 979-8-3503-5851-3
3804.
Hadwiger, Simon; Kube, David; Lavrik, Vladimir; Meisen, Tobias
Towards Precision in Motion: Investigating the Influences of Curriculum Learning based on a Multi-Purpose Performance Metric for Vision-Based Forklift Navigation
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Page 796—803
Publisher: IEEE
2024ISBN: 979-8-3503-5851-3
3803.
Hadwiger, Simon; Kube, David; Lavrik, Vladimir; Meisen, Tobias
Towards Precision in Motion: Investigating the Influences of Curriculum Learning based on a Multi-Purpose Performance Metric for Vision-Based Forklift Navigation
2024 IEEE 20th International Conference on Automation Science and Engineering (CASE), Page 796—803
Publisher: IEEE
2024ISBN: 979-8-3503-5851-3
3802.
Wegener, Ralf
Vielfältige Einsatzmöglichkeiten von Antriebssystemen in der elektrischen Energietechnik
2024ISBN: 9798333182104
- 2023
3801.
Haussmann, N.; Stroka, S.; Mazaheri, S.; Clemens, M.
Using Point Clouds for Material Properties Smoothing in Low-Frequency Numerical Dosimetry Simulations
21st Biennial IEEE Conference on Electromagnetic Field Computation (CEFC 2024)
Jeju, South Korea
02.-05.06.2024
December 20233800.
Clemens, M.; Henkel, M.-L.; Kasolis, F.; Günther, M.
A Port-Hamiltonian System Perspective on Electromagneto-Quasistatic Field Formulations of Darwin-Type
15th International Conference on Scientific Computing in Electrical Engineering (SCEE 2024)
Darmstadt, Germany
04.-08.03.2024
December 20233799.
Hensel, H.; Clemens, M.
Numerical Simulation of the Electric Field in HVDC GIL with Application of Surface Conductivity Gradient Material
IEEE 2024 International Conference on Dielectrics (IEEE ICD 2024)
Toulouse, France
30.06.-04.07.2024
November 2023