Blar i NTNU Open på forfatter "Berget, Gunhild Elisabeth"
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Adaptive Sampling of Dynamic Fields using Autonomous Underwater Vehicles
Berget, Gunhild Elisabeth (Doctoral theses at NTNU;2022:368, Doctoral thesis, 2022) -
Adaptive Sampling of Ocean Processes Using an AUV with a Gaussian Proxy Model
Berget, Gunhild Elisabeth; Fossum, Trygve Olav; Johansen, Tor Arne; Eidsvik, Jo; Rajan, Kanna (Journal article; Peer reviewed, 2018)This paper presents methods for building and exploiting compact spatial models on board an autonomous underwater vehicle (AUV) towards tracking suspended material plumes. The research is aiming to improve real-time monitoring ... -
Adaptive Underwater Robotic Sampling of Dispersal Dynamics in the Coastal Ocean
Berget, Gunhild Elisabeth; Eidsvik, Jo; Alver, Morten; Py, Frédéric; Grøtli, Esten Ingar; Johansen, Tor Arne (Chapter, 2022)To get a better understanding of the highly nonlinear processes driving the ocean, efficient and informative sampling is critical. By combining robotic sampling with ocean models we are able to choose informative sampling ... -
Dynamic stochasticmodeling for adaptive sampling of environmental variables using an AUV
Berget, Gunhild Elisabeth; Eidsvik, Jo; Alver, Morten Omholt; Johansen, Tor Arne (Peer reviewed; Journal article, 2023)Discharge of mine tailings significantly impacts the ecological status of the sea. Methods to efficiently monitor the extent of dispersion is essential to protect sensitive areas. By combining underwater robotic sampling ... -
Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables
Foss, Karine Hagesæther; Berget, Gunhild Elisabeth; Eidsvik, Jo (Peer reviewed; Journal article, 2021)New robotic sensor platforms have computing resources that enable a rich set of tasks for adaptive monitoring of the environment. But to substantially augment the toolbox of environmental sensing, such platforms must be ... -
Using Hidden Markov Models for Musical Chord Prediction
Berget, Gunhild Elisabeth (Master thesis, 2017)Music is made up of a melody and chords that accompany the melody. Finding suitable chords, can be hard and time consuming. This thesis investigates the use of Hidden Markov models (HMMs) to assist in this process. The ...