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In AUV habitat mapping and exploration missions, a prior habitat map with associated uncertainty has the potential to guide the design of AUV deployments more effectively than a bathymetric map alone. We present and characterize an approach for learning predictive models of benthic habitats as a function of seabed terrain features. The models were learned by correlating limited-coverage high resolution...
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