Published in eLight · View the paper (DOI)
Researchers developed a novel method for underwater geolocalization using deep neural networks trained on 10 million polarization-sensitive images. The technology enables tethered-free navigation and has the potential to improve location accuracy, enabling in situ autonomous sampling robots to monitor water properties.
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