Change search
ReferencesLink to record
Permanent link

Direct link
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
URN: urn:nbn:se:kth:diva-26239DOI: 10.1109/TRO.2010.2049178ISI: 000283538500011OAI: diva2:398693
QC 20110218Available from: 2011-02-18 Created: 2010-11-21 Last updated: 2011-02-18Bibliographically approved

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Topp, Elin A.
By organisation
Centre for Autonomous Systems, CAS
Computer and Information Science

Search outside of DiVA

GoogleGoogle Scholar
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Altmetric score

Total: 15 hits
ReferencesLink to record
Permanent link

Direct link