Blar i SINTEF Open på forfatter "Schulerud, Helene"
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Apricot 2 - CT imaging of whole fish and fillets
Bakken, Marianne; Schulerud, Helene (SINTEF Rapport;, Research report, 2016)The objectives of this project have been to image bones in whole fish and fillets in 9 different spices and to provide detailed information about the size, orientation and location of pinbones and the walking stick bone ... -
Apricot anatomy. Measures of pinbones in fish fillets using CT
Bakken, Marianne; Schulerud, Helene; Thielemann, Jens T (SINTEF Rapport;, Research report, 2012)The objectives of this project have been to provide detailed information about the size, orientation and location of pinbones in fillets of cod, haddock, saithe and salmon. For each spices 16 fillets were CT scanned and ... -
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 ... -
Bin Picking of Reflective Steel Parts Using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment
Dyrstad, Jonatan Sjølund; Bakken, Marianne; Grøtli, Esten Ingar; Schulerud, Helene; Mathiassen, John Reidar Bartle (Chapter, 2019)We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution ... -
Bin Picking of Reflective Steel Parts Using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment
Dyrstad, Jonatan Sjølund; Bakken, Marianne; Grøtli, Esten Ingar; Schulerud, Helene; Mathiassen, John Reidar Bartle (Chapter, 2019-12-15)We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution ... -
Bin Picking of Reflective Steel Parts using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment
Dyrstad, Jonatan Sjølund; Bakken, Marianne; Grøtli, Esten Ingar; Schulerud, Helene; Mathiassen, John Reidar Bartle (Journal article; Peer reviewed, 2018-12-12)We consider the case of robotic bin picking of reflective steel parts, using a structured light 3D camera as a depth imaging device. In this paper, we present a new method for bin picking, based on a dual-resolution ... -
RINVE Feasibility Study 2018
Merz, Mariann; Transeth, Aksel Andreas; Eleftheriadis, Ragnhild; Knudsen, Ole Øystein; Schulerud, Helene (SINTEF Rapport ( ISSN 1504-9795);2018:00967, Research report, 2018)This report summarizes end user needs and supplier capabilities within the "Automation and Robotics for Inspection and Maintenance" (RINVE) Network as identified in an innovation workshop held on the 10th of April 2018 at ...