Projekter pr. år
Beskrivelse
Underwater pipeline RGB images dataset recorded in the botom flor of a marina close to the north of Portugal by our partner OceanScan-MST using a lightweight autonomous underwater vehicle (LAUV). It contains videos, image frames, and annotation for pipeline segmentation.
This dataset is released together with the paper "Bridging the Sim-to-Real GAP for Underwater Image Segmentation", by Luiza Ribeiro Marnet, Stella Grasshof, Yury Brodskiy, and Andrzej Wasowski.
When using MarinaPipe, please reference the paper "Bridging the Sim-to-Real GAP for Underwater Image Segmentation" and acknowledge OceanScan-MST for collecting the data using the lightweight autonomous underwater vehicle (LAUV).
Dato for tilgængelighed | 9 apr. 2024 |
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Forlag | ZENODO |
Projekter
- 1 Igangværende
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REMARO: Reliable AI for Marine Robotics
Wasowski, A. (PI), Weihl, L. (CoI), Mohammadi Kashani, M. (CoI), Quijano, S. D. (CoI), Varshosaz, M. (CoI), Marnet, L. R. (CoI), Grasshof, S. (Samarbejdspartner) & Heinrich, S. (Samarbejdspartner)
01/12/2020 → 30/04/2025
Projekter: Projekt › Forskning