Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Marianne Bakken"'
Autor:
Vignesh Raja Ponnambalam, Marianne Bakken, Richard J. D. Moore, Jon Glenn Omholt Gjevestad, Pål Johan From
Publikováno v:
Sensors, Vol 20, Iss 18, p 5249 (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 from their base station. Onbo
Externí odkaz:
https://doaj.org/article/0898849c6cfd40978e3cd32a8f71b083
Publikováno v:
Journal of Intelligent Manufacturing
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 data-driven method that lear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e5e8c03f3b7203e2d6f11987c7814a4b
https://hdl.handle.net/11250/3035765
https://hdl.handle.net/11250/3035765
Publikováno v:
IFAC-Papers
For robotic technology to be adopted within the agricultural domain, there is a need for low-cost systems that can be flexibly deployed across a wide variety of crop types, environmental conditions, and planting methods, without extensive re-engineer
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c5d1cc4d57e096181aaa4469c466bf0
https://doi.org/10.1016/j.ifacol.2019.12.505
https://doi.org/10.1016/j.ifacol.2019.12.505
Autor:
Pål Johan From, Jon Glenn Omholt Gjevestad, Richard J. D. Moore, Marianne Bakken, Vignesh Raja Ponnambalam
Publikováno v:
ICRA
We propose an approach for robot-supervised learning that automates label generation for semantic segmentation with Convolutional Neural Networks (CNNs) for crop row detection in a field. Using a training robot equipped with RTK GNSS and RGB camera,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::770736e114ac0dea78d667d5c66df8f8
https://hdl.handle.net/11250/2832146
https://hdl.handle.net/11250/2832146
Autor:
Marianne Bakken, Richard J. D. Moore, Pål Johan From, Jon Glenn Omholt Gjevestad, Vignesh Raja Ponnambalam
Publikováno v:
Sensors, Vol 20, Iss 5249, p 5249 (2020)
Sensors
Volume 20
Issue 18
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 18
Sensors (Basel, Switzerland)
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 from their base station. Onbo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eb4003c4b54fde3ee96fa0b95d2ef188
https://www.mdpi.com/1424-8220/20/18/5249
https://www.mdpi.com/1424-8220/20/18/5249
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
We introduce a new visualisation technique for CNNs called Principal Feature Visualisation (PFV). It uses a single forward pass of the original network to map principal features from the final convolutional layer to the original image space as RGB ch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e194cdcf3e8b4612fe82f75cf3a13ce2
https://doi.org/10.1007/978-3-030-58592-1_2
https://doi.org/10.1007/978-3-030-58592-1_2
Autor:
John Reidar Mathiassen, Esten Ingar Grøtli, Helene Schulerud, Jonatan S. Dyrstad, Marianne Bakken
Publikováno v:
Robotics and Biomimetics
ROBIO
ROBIO
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 convolutional neural network train
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6e43bbceb5a969269a2f06e32a3ffe1f
https://hdl.handle.net/11250/2592926
https://hdl.handle.net/11250/2592926