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Detecting Region Transitions for Human-Augmented Mapping
KTH, School of Computer Science and Communication (CSC), Centres, Centre for Autonomous Systems, CAS.
2010 (English)In: IEEE TRANS ROBOT, ISSN 1552-3098, Vol. 26, no 4, 715-720 p.Article in journal (Refereed) Published
Abstract [en]

In this paper, we describe a concise method for the feature-based representation of regions in an indoor environment and show how it can also be applied for door-passage-independent detection of transitions between regions to improve communication with a human user.

Place, publisher, year, edition, pages
2010. Vol. 26, no 4, 715-720 p.
Keyword [en]
Human-robot interface, semantic mapping, space segmentation
National Category
Computer and Information Science
Identifiers
URN: urn:nbn:se:kth:diva-26239DOI: 10.1109/TRO.2010.2049178ISI: 000283538500011OAI: oai:DiVA.org:kth-26239DiVA: diva2:398693
Note
QC 20110218Available from: 2011-02-18 Created: 2010-11-21 Last updated: 2011-02-18Bibliographically approved

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Topp, Elin A.
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