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Fast laser-based feature recognition
Örebro University, Department of Technology. (Mobile Robotics Lab)
Örebro University, Department of Technology. (Mobile Robotics Lab)
2005 (English)Conference paper, Oral presentation only (Refereed)
Abstract [en]

This paper we present our methods for feature recognition used for high speed reactive navigation based on a topological map, with none or sparse metric information. Our methods for corridor and intersection detection yields execution times of only a fraction of what we have found previously described in the relevant literature, and have proven robust and reliable in experiments performed both in office environment and in our test mine [Larsson et al., 2005]. A. Related Work Our Corridor

Place, publisher, year, edition, pages
2005.
National Category
Computer Sciences
Research subject
Computer and Systems Science
Identifiers
URN: urn:nbn:se:oru:diva-3906OAI: oai:DiVA.org:oru-3906DiVA, id: diva2:138205
Conference
3rd Swedish Workshop on Autonomous Robotics, Stockholm, Sweden, 2005
Available from: 2007-08-13 Created: 2007-08-13 Last updated: 2018-01-13Bibliographically approved

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http://www.aass.oru.se/Research/Robots/publications.html

Authority records BETA

Larsson, JohanBroxvall, Mathias

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Total: 16 hits
CiteExportLink to record
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  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
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  • en-US
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Output format
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