Navigating the future of underwater geolocalization: How polarization patterns enable new technology

University of Illinois Urbana-Champaign researchers have developed a novel method for underwater geolocalization using deep neural networks that have been trained on 10 million polarization-sensitive images collected from locations around the world. This new study, led by electrical and computer engineering professor Viktor Gruev, along with computer science professor David Forsyth, enables underwater geolocalization using only optical data while providing a tool for tethered-free underwater navigation.

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