Marianne Bakken

Research Scientist

Unit:: SINTEF Digital
Department:: Smart Sensors and Microsystems
Office:: Oslo

I am a researcher specializing in deep learning for robot vision and 3D aquisition. Research interests: Explanation methods for deep learning, deep learning in agriculture, vision-based navigation for mobile robots, computer vision with 3D data and pointclouds, 3D data aquisition, computer vision for small-scale manufacturing.

Education

M.Sc. in Electronics
Ph.D. in Robotics

Competence and research areas

- Robot vision/computer vision
- Deep learning for image and 3D data
- Agricultural robotics
- Quality control and robot vision for manufacturing

https://www.linkedin.com/in/marianne-bakken-7327966b/

ResearchGate

https://www.researchgate.net/profile/Marianne-Bakken-3

ORCID

https://orcid.org/0000-0003-4958-8194

Highlighted publications

2021 Doctoral dissertation
Explainable and data-efficient learning for visual guidance of autonomous agri-robots
2022 Academic article
Automated 3D burr detection in cast manufacturing using sparse convolutional neural networks Read publication
2021 Academic lecture
Robot-supervised Learning of Crop Row Segmentation
2020 Academic article
Principal Feature Visualisation in Convolutional Neural Networks Read publication
2018 Academic chapter/article/Conference paper
Bin Picking of Reflective Steel Parts Using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment Read publication

Projects

Contact person, projects

Other projects

Expertise

Contact person, expertise

Robot Vision

More publications

2021 Academic chapter/article/Conference paper
Robot-supervised Learning of Crop Row Segmentation Read publication
2020 Academic article
Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields Read publication
2019 Academic article
End-to-end learning for autonomous crop row-following Read publication
2016 Report
Apricot 2 - CT imaging of whole fish and fillets Read publication

Other

2024 Lecture
Robot Vision for agri applications
2024 Lecture
3D sensorer og KI for automatisk inspeksjon og bearbeiding
2024 Lecture
Sensorer for robotikk og analyse – hvordan gjøre kunstig intelligens nyttig i fysiske problemer fra virkeligheten?
2023 Lecture
Semantically consistent self-supervised representation learning on point clouds
2020 Poster
Principal Feature Visualisation in Convolutional Neural Networks
2020 Academic lecture
Fast reasoning visualization for deep convolutional networks
2019 Academic lecture
End-to-end Learning for Autonomous Navigation for Agricultural Robots
2018 Poster
End-to-end Learning for Autonomous Navigation for Agricultural Robots
2018 Academic lecture
Bin Picking of Reflective Steel Parts using a Dual-Resolution Convolutional Neural Network Trained in a Simulated Environment
2014 Academic lecture
Parallel Dynamic Roadmaps for Real-Time Motion Planning in Complex Dynamic Scenes

Contact info

Visiting address:
Forskningsveien 1
0373 Oslo

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