A street map built by a mobile mapping system
Autor(a) principal: | |
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Data de Publicação: | 2000 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo de conferência |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://hdl.handle.net/11449/227940 |
Resumo: | Mobile mapping systems (MMS) integrate sensors and methods to deliver an accurate spatial position of details on or near the topographic surface. This means an expensive hardware configuration where CCD cameras, GPS receivers, INS platforms, wheel sensors, gyroscopes, laser rangers and others are linked together to produce georeferenced images and spatial coordinates of attributes. A sequence of terrestrial images is formed by consecutive digital images taken from bases that are moved forward along the main axis of a road. This happens when a pair of video cameras is mounted on the top of a MMS vehicle to take frontal images of a street. In general, sensor orientation is provided directly by means of GPS and INS data integration. In a few situations, INS equipment is hard to purchase mainly for the high prices. When no INS equipment is provided bundle triangulation can then be used for camera orientation. Object details can be positioned by photogrammetric intersection. The prototype is composed of a van, two digital video cameras, a GPS receiver, and a laptop. An experimental street test was conducted and the results revealed that bundle method provides average positional accuracy of less than 1.5m for the perspective centers. A 1:2000 street map was made based on topographic surveying by the photogrammetric traverse, which concatenates a sequence of terrestrial stereo pairs. Statistic tests show that the map accuracy succeeded and the standard error is 1.0mm in map scale. |
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Repositório Institucional da UNESP |
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A street map built by a mobile mapping systemBundle TriangulationGPSImage sequenceIntegrationMobile mappingUrban objectsMobile mapping systems (MMS) integrate sensors and methods to deliver an accurate spatial position of details on or near the topographic surface. This means an expensive hardware configuration where CCD cameras, GPS receivers, INS platforms, wheel sensors, gyroscopes, laser rangers and others are linked together to produce georeferenced images and spatial coordinates of attributes. A sequence of terrestrial images is formed by consecutive digital images taken from bases that are moved forward along the main axis of a road. This happens when a pair of video cameras is mounted on the top of a MMS vehicle to take frontal images of a street. In general, sensor orientation is provided directly by means of GPS and INS data integration. In a few situations, INS equipment is hard to purchase mainly for the high prices. When no INS equipment is provided bundle triangulation can then be used for camera orientation. Object details can be positioned by photogrammetric intersection. The prototype is composed of a van, two digital video cameras, a GPS receiver, and a laptop. An experimental street test was conducted and the results revealed that bundle method provides average positional accuracy of less than 1.5m for the perspective centers. A 1:2000 street map was made based on topographic surveying by the photogrammetric traverse, which concatenates a sequence of terrestrial stereo pairs. Statistic tests show that the map accuracy succeeded and the standard error is 1.0mm in map scale.Department of Cartography Universidade Estadual Paulista - UnespCartographic Sciences Graduate Program Universidade Estadual Paulista - UnespCartographic Engineering Undergraduate Program Universidade Estadual Paulista - UnespDepartment of Cartography Universidade Estadual Paulista - UnespCartographic Sciences Graduate Program Universidade Estadual Paulista - UnespCartographic Engineering Undergraduate Program Universidade Estadual Paulista - UnespUniversidade Estadual Paulista (UNESP)Silva, J. F.C. [UNESP]Camargo, P. O. [UNESP]Oliveira, R. A. [UNESP]Gallis, R. B.A. [UNESP]Guardia, M. C. [UNESP]Reiss, M. L.L. [UNESP]Silva, R. A.C. [UNESP]2022-04-29T07:25:54Z2022-04-29T07:25:54Z2000-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject510-517International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 510-517.1682-1750http://hdl.handle.net/11449/2279402-s2.0-84924264748Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archivesinfo:eu-repo/semantics/openAccess2024-06-18T15:02:38Zoai:repositorio.unesp.br:11449/227940Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T17:13:23.282601Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A street map built by a mobile mapping system |
title |
A street map built by a mobile mapping system |
spellingShingle |
A street map built by a mobile mapping system Silva, J. F.C. [UNESP] Bundle Triangulation GPS Image sequence Integration Mobile mapping Urban objects |
title_short |
A street map built by a mobile mapping system |
title_full |
A street map built by a mobile mapping system |
title_fullStr |
A street map built by a mobile mapping system |
title_full_unstemmed |
A street map built by a mobile mapping system |
title_sort |
A street map built by a mobile mapping system |
author |
Silva, J. F.C. [UNESP] |
author_facet |
Silva, J. F.C. [UNESP] Camargo, P. O. [UNESP] Oliveira, R. A. [UNESP] Gallis, R. B.A. [UNESP] Guardia, M. C. [UNESP] Reiss, M. L.L. [UNESP] Silva, R. A.C. [UNESP] |
author_role |
author |
author2 |
Camargo, P. O. [UNESP] Oliveira, R. A. [UNESP] Gallis, R. B.A. [UNESP] Guardia, M. C. [UNESP] Reiss, M. L.L. [UNESP] Silva, R. A.C. [UNESP] |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Silva, J. F.C. [UNESP] Camargo, P. O. [UNESP] Oliveira, R. A. [UNESP] Gallis, R. B.A. [UNESP] Guardia, M. C. [UNESP] Reiss, M. L.L. [UNESP] Silva, R. A.C. [UNESP] |
dc.subject.por.fl_str_mv |
Bundle Triangulation GPS Image sequence Integration Mobile mapping Urban objects |
topic |
Bundle Triangulation GPS Image sequence Integration Mobile mapping Urban objects |
description |
Mobile mapping systems (MMS) integrate sensors and methods to deliver an accurate spatial position of details on or near the topographic surface. This means an expensive hardware configuration where CCD cameras, GPS receivers, INS platforms, wheel sensors, gyroscopes, laser rangers and others are linked together to produce georeferenced images and spatial coordinates of attributes. A sequence of terrestrial images is formed by consecutive digital images taken from bases that are moved forward along the main axis of a road. This happens when a pair of video cameras is mounted on the top of a MMS vehicle to take frontal images of a street. In general, sensor orientation is provided directly by means of GPS and INS data integration. In a few situations, INS equipment is hard to purchase mainly for the high prices. When no INS equipment is provided bundle triangulation can then be used for camera orientation. Object details can be positioned by photogrammetric intersection. The prototype is composed of a van, two digital video cameras, a GPS receiver, and a laptop. An experimental street test was conducted and the results revealed that bundle method provides average positional accuracy of less than 1.5m for the perspective centers. A 1:2000 street map was made based on topographic surveying by the photogrammetric traverse, which concatenates a sequence of terrestrial stereo pairs. Statistic tests show that the map accuracy succeeded and the standard error is 1.0mm in map scale. |
publishDate |
2000 |
dc.date.none.fl_str_mv |
2000-01-01 2022-04-29T07:25:54Z 2022-04-29T07:25:54Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/conferenceObject |
format |
conferenceObject |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 510-517. 1682-1750 http://hdl.handle.net/11449/227940 2-s2.0-84924264748 |
identifier_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives, v. 33, p. 510-517. 1682-1750 2-s2.0-84924264748 |
url |
http://hdl.handle.net/11449/227940 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
510-517 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808128775398883328 |