Title:
Semantic map partitioning in indoor environments using regional analysis
Semantic map partitioning in indoor environments using regional analysis
| dc.contributor.author | Nieto-Granda, Carlos | en_US |
| dc.contributor.author | Rogers, John G. | en_US |
| dc.contributor.author | Trevor, Alexander J. B. | en_US |
| dc.contributor.author | Christensen, Henrik I. | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. College of Computing | en_US |
| dc.contributor.corporatename | Georgia Institute of Technology. Center for Robotics and Intelligent Machines | en_US |
| dc.date.accessioned | 2012-02-07T14:50:13Z | |
| dc.date.available | 2012-02-07T14:50:13Z | |
| dc.date.issued | 2010-10 | |
| dc.description | © 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. | en_US |
| dc.description | Presented at the 2010 IEEE/RSJ International Conference on Intelligent Robots and Systems, October 18-22, 2010, Taipei, Taiwan. | en_US |
| dc.description | DOI: 10.1109/IROS.2010.5650575 | en_US |
| dc.description.abstract | Classification of spatial regions based on semantic information in an indoor environment enables robot tasks such as navigation or mobile manipulation to be spatially aware. The availability of contextual information can significantly simplify operation of a mobile platform. We present methods for automated recognition and classification of spaces into separate semantic regions and use of such information for generation of a topological map of an environment. The association of semantic labels with spatial regions is based on Human Augmented Mapping. The methods presented in this paper are evaluated both in simulation and on real data acquired from an office environment. | en_US |
| dc.identifier.citation | Nieto-Granda, C., III, J. G. R., Trevor, A. J. B., and Christensen, H. I. Semantic map partitioning in indoor environments using regional analysis. In IROS (Taiwan, Oct 2010), IEEE, pp. 1451-1456. | en_US |
| dc.identifier.doi | 10.1109/IROS.2010.5650575 | |
| dc.identifier.isbn | 978-1-4244-6674-0 | |
| dc.identifier.issn | 2153-0858 | |
| dc.identifier.uri | http://hdl.handle.net/1853/42365 | |
| dc.language.iso | en_US | en_US |
| dc.publisher | Georgia Institute of Technology | en_US |
| dc.publisher.original | Institute of Electrical and Electronics Engineers | en_US |
| dc.subject | Semantic mapping | en_US |
| dc.subject | Indoor environments | en_US |
| dc.subject | Mobile robots | en_US |
| dc.subject | Regional analysis | en_US |
| dc.title | Semantic map partitioning in indoor environments using regional analysis | en_US |
| dc.type | Text | |
| dc.type.genre | Proceedings | |
| dspace.entity.type | Publication | |
| local.contributor.author | Christensen, Henrik I. | |
| local.contributor.corporatename | Institute for Robotics and Intelligent Machines (IRIM) | |
| relation.isAuthorOfPublication | afdc727f-2705-4744-945f-e7d414f2212b | |
| relation.isOrgUnitOfPublication | 66259949-abfd-45c2-9dcc-5a6f2c013bcf |
Files
Original bundle
1 - 1 of 1
- Name:
- christensen_Iros_2010_003.pdf
- Size:
- 1.79 MB
- Format:
- Adobe Portable Document Format
- Description: