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Robin Gruna on Muck Rack

Robin Gruna

As seen in: Nature, IEEE
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Articles

Multimodal and Hyperspectral Dataset for Segmentation of Bulky Waste using VIS, IR, NIR, and Terahertz Imaging

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By Andreas Keil, Robin Gruna, Michael Heizmann, Manuel Bihler, Lukas Roming, Dovilė Čibiraitė-Lukenskienė, Jochen Aderhold, Friedrich Schlüter
| Nature Verified
Abstract This study presents an annotated multi-sensor, multimodal, and hyperspectral dataset designed to support deep learning-based classification and segmentation of bulky waste. The dataset comprises four distinct sensor modalities: high-resolution visible RGB images (VIS), hyperspectral near-infrared (NIR), temporally resolved thermal infrared (IR), and terahertz (THz) imaging with depth information, providing complementary multimodal information.
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A Survey of the State of the Art in Sensor-Based Sorting Technology and Research

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By Georg Maier, Thomas Längle, Jürgen Beyerer, Robin Gruna
| IEEE
CCBY - IEEE is not the copyright holder of this material. Please follow the instructions via https://creativecommons.org/licenses/by/4.0/ to obtain full-text articles and stipulations in the API documentation. Sensor-based sorting is an increasingly important technology in various industries where material streams must be processed with high throughput.
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