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Multi-Cue Based Place Learning for Mobile Robot Navigation
Blekinge Institute of Technology, School of Computing.
Blekinge Institute of Technology, School of Computing.
2012 (English)Conference paper, (Refereed)
Abstract [en]

Place recognition is important navigation ability for autonomous navigation of mobile robots. Visual cues extracted from images provide a way to represent and recognize visited places. In this article, a multi-cue based place learning algorithm is proposed. The algorithm has been evaluated on a localization image database containing different variations of scenes under different weather conditions taken by moving the robot-mounted camera in an indoor-environment. The results suggest that joining the features obtained from different cues provide better representation than using a single feature cue.

Place, publisher, year, edition, pages
Aveiro, Portugal: Springer, LNAI , 2012.
Keyword [en]
place learning, visual cues, place recognition, robot navigation, localization.
National Category
Computer Science
Identifiers
URN: urn:nbn:se:bth-7129DOI: 10.1007/978-3-642-31368-4_7Local ID: oai:bth.se:forskinfo8E7A3F295371EBFBC1257AC5005294FDISBN: 9783642313677 (print)OAI: oai:DiVA.org:bth-7129DiVA: diva2:834711
Conference
Third International Conference on Autonomous and Intelligent Systems, AIS 2012
Available from: 2012-12-03 Created: 2012-11-29 Last updated: 2017-03-14Bibliographically approved

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CiteExportLink to record
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Citation style
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