Blar i Brage NMBU på forfatter "Bakken, Marianne"
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Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks
Mohammed, Ahmed Kedir; Kvam, Johannes; Onstein, Ingrid Fjordheim; Bakken, Marianne; Schulerud, Helene (Peer reviewed; Journal article, 2022)For automating deburring of cast parts, this paper proposes a general method for estimating burr height using 3D vision sensor that is robust to missing data in the scans and sensor noise. Specifically, we present a novel ... -
Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields
Ponnambalam, Vignesh Raja; Bakken, Marianne; Moore, Richard; Omholt Gjevestad, Jon Glenn; From, Pål Johan (Peer reviewed; Journal article, 2020)Automated robotic platforms are an important part of precision agriculture solutions for sustainable food production. Agri-robots require robust and accurate guidance systems in order to navigate between crops and to and ... -
Explainable and data-efficient learning for visual guidance of autonomous agri-robots
Bakken, Marianne (PhD Thesis;2021:73, Doctoral thesis, 2021)To feed a growing world population and achieve the goal of zero hunger, we must develop new technologies to improve farm productivity and sustainability. Agri-robots can be a part of this solution, but new research is ... -
Principal Feature Visualisation in Convolutional Neural Networks
Bakken, Marianne; Kvam, Johannes; Stepanov, Alexey; Berge, Asbjørn (Peer reviewed; Journal article, 2020) -
Robot-supervised Learning of Crop Row Segmentation
Bakken, Marianne; Moore, Richard J.D.; From, Pål Johan; Omholt Gjevestad, Jon Glenn; Ponnambalam, Vignesh Raja (Chapter, 2021)