Collaborative Environment Learning: The Key to Localization of Soldiers in Urban Environments
| dc.contributor.author | Moafipoor, Shahram | |
| dc.contributor.author | Bock, Lydia | |
| dc.contributor.author | Fayman, Jeffrey A. | |
| dc.contributor.author | Mader, Gerry | |
| dc.contributor.author | Strong, Michael | |
| dc.date.accessioned | 2016-04-20T17:37:20Z | en |
| dc.date.available | 2016-04-20T17:37:20Z | en |
| dc.date.issued | 2009-10 | en |
| dc.identifier.issn | 0884-5123 | en |
| dc.identifier.issn | 0074-9079 | en |
| dc.identifier.uri | http://hdl.handle.net/10150/606113 | en |
| dc.description | ITC/USA 2009 Conference Proceedings / The Forty-Fifth Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2009 / Riviera Hotel & Convention Center, Las Vegas, Nevada | en_US |
| dc.description.abstract | Several navigation technologies exist, which can facilitate the generation of Time Space Positioning Information (TSPI) in urban environments. These include GPS, image-based localization, radio-based localization and dead reckoning. This paper first presents a basic overview of these techniques including advantages and limitations of each. We present an approach to localization in urban environments, based on environment learning and collaborative navigation using multiple homogeneous and non-homogeneous localization technologies, fused to form a multi-sensor system. | |
| dc.description.sponsorship | International Foundation for Telemetering | en |
| dc.language.iso | en_US | en |
| dc.publisher | International Foundation for Telemetering | en |
| dc.relation.url | http://www.telemetry.org/ | en |
| dc.rights | Copyright © held by the author; distribution rights International Foundation for Telemetering | en |
| dc.subject | Multi-sensor integration | en |
| dc.subject | Collaborative navigation | en |
| dc.subject | Environment learning | en |
| dc.title | Collaborative Environment Learning: The Key to Localization of Soldiers in Urban Environments | en_US |
| dc.type | text | en |
| dc.type | Proceedings | en |
| dc.contributor.department | Geodetics Inc. | en |
| dc.identifier.journal | International Telemetering Conference Proceedings | en |
| dc.description.collectioninformation | Proceedings from the International Telemetering Conference are made available by the International Foundation for Telemetering and the University of Arizona Libraries. Visit http://www.telemetry.org/index.php/contact-us if you have questions about items in this collection. | en |
| refterms.dateFOA | 2018-09-11T09:07:46Z | |
| html.description.abstract | Several navigation technologies exist, which can facilitate the generation of Time Space Positioning Information (TSPI) in urban environments. These include GPS, image-based localization, radio-based localization and dead reckoning. This paper first presents a basic overview of these techniques including advantages and limitations of each. We present an approach to localization in urban environments, based on environment learning and collaborative navigation using multiple homogeneous and non-homogeneous localization technologies, fused to form a multi-sensor system. |
