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Consistent pile-shape quantification for autonomous wheel loaders
Örebro University, School of Science and Technology.ORCID iD: 0000-0001-8658-2985
Örebro University, School of Science and Technology.
2011 (English)In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011, p. 4078-4083Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a study of approaches for selecting an efficient attack pose when loading piled materials with industrial construction vehicles. Automated handling of piled materials is a highly desired goal in many construction and mining applications. The main contributions of the paper are an experimental study of two novel approaches for selecting an attack pose from 3D data, compared to previously published approaches and extensions thereof. The outcome is based on quantitative validation, both with simulated data and data from a real-world scenario with nontrivial ground geometry.

Place, publisher, year, edition, pages
2011. p. 4078-4083
Series
IEEE International Conference on Intelligent Robots and Systems, ISSN 2153-0858
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-22334ISI: 000297477504065ISBN: 978-1-61284-455-8 (print)OAI: oai:DiVA.org:oru-22334DiVA, id: diva2:513324
Conference
IEEE/RSJ International Conference on Intelligent Robots and Systems SEP 25-30, 2011 San Francisco, CA
Available from: 2012-04-02 Created: 2012-04-02 Last updated: 2018-01-12Bibliographically approved

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Magnusson, MartinAlmqvist, Håkan

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Citation style
  • apa
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  • ieee
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  • Other locale
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  • asciidoc
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