Blar i Institutt for marin teknikk på forfatter "Eidsvik, Jo"

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    • Compact models for adaptive sampling in marine robotics 

      Fossum, Trygve Olav; Ryan, John; Mukerji, Tapan; Eidsvik, Jo; Maughan, Thom; Ludvigsen, Martin; Rajan, Kanna (Journal article; Peer reviewed, 2019)
      Finding high-value locations for in situ data collection is of substantial importance in ocean science, where diverse bio-physical processes interact to create dynamically evolving phenomena. These cover a variable spatial ...

    • Information-driven robotic sampling in the coastal ocean 

      Fossum, Trygve Olav; Eidsvik, Jo; Ellingsen, Ingrid H.; Alver, Morten; Fragoso, Glaucia Moreira; Johnsen, Geir; mendes, renato; Ludvigsen, Martin; Rajan, Kanna (Journal article; Peer reviewed, 2018)
      Efficient sampling of coastal ocean processes, especially mechanisms such as upwelling and internal waves and their influence on primary production, is critical for understanding our changing oceans. Coupling robotic ...

    • Learning excursion sets of vector-valued Gaussian random fields for autonomous ocean sampling 

      Fossum, Trygve Olav; Travelletti, Cedric; Eidsvik, Jo; Ginsbourger, David; Rajan, Kanna (Journal article, 2021)
      Improving and optimizing oceanographic sampling is a crucial task for marine science and maritime resource management. Faced with limited resources in understanding processes in the water column, the combination of statistics ...

    • Toward adaptive robotic sampling of phytoplankton in the coastal ocean 

      Fossum, Trygve Olav; Fragoso, Glaucia Moreira; Davies, Emlyn John; Ullgren, Jenny; Mendes, Renato; Johnsen, Geir; Ellingsen, Ingrid H.; Eidsvik, Jo; Ludvigsen, Martin; Rajan, Kanna (Journal article; Peer reviewed, 2019)
      Currents, wind, bathymetry, and freshwater runoff are some of the factors that make coastal waters heterogeneous, patchy, and scientifically interesting—where it is challenging to resolve the spatiotemporal variation within ...