A New Blondin System for Surveying and Photogrammetry

The main objective of the system presented in this paper is to provide surveyors and engineers with a new photogrammetry device that can be easily integrated with surveying total stations and a global navigation satellite system (GNSS) infrastructure at a construction site, taking advantage of their...

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Detalles Bibliográficos
Autores: Cuesta Rojo, Federico, López-Rodríguez, Francisco M., Esteban, Antonio
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2013
País:España
Institución:Universidad de Sevilla (US)
Repositorio:idUS. Depósito de Investigación de la Universidad de Sevilla
OAI Identifier:oai:idus.us.es:11441/49577
Acceso en línea:http://hdl.handle.net/11441/49577
https://doi.org/10.3390/s131216894
Access Level:acceso abierto
Palabra clave:Sensors integration
Surveying
Construction site
Cascaded extended Kalman filter (EKF)
Structure from motion (SfM)
Dense point cloud
Digital surface model (DSM)
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spelling A New Blondin System for Surveying and PhotogrammetryCuesta Rojo, FedericoLópez-Rodríguez, Francisco M.Esteban, AntonioSensors integrationSurveyingConstruction siteCascaded extended Kalman filter (EKF)Structure from motion (SfM)Dense point cloudDigital surface model (DSM)The main objective of the system presented in this paper is to provide surveyors and engineers with a new photogrammetry device that can be easily integrated with surveying total stations and a global navigation satellite system (GNSS) infrastructure at a construction site, taking advantage of their accuracy and overcoming limitations of aerial vehicles with respect to weight, autonomy and skilled operator requirements in aerial photogrammetry. The system moves between two mounting points, in a blondin ropeway configuration, at the construction site, taking pictures and recording the data of the position and the orientation along the cable path. A cascaded extended Kalman filter is used to integrate measurements from the on-board inertial measurement unit (IMU), a GPS and a GNSS. Experimental results taken in a construction site show the system performance, including the validation of the position estimation, with a robotic surveying total station, or the creation of a digital surface model (DSM), using the emergent structure from motion (SfM) techniques and open software. The georeferencing of the DSM is performed based on estimated camera position or using ground control points (GCPs)MDPIIngeniería de Sistemas y Automática2013info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://hdl.handle.net/11441/49577https://doi.org/10.3390/s131216894reponame:idUS. Depósito de Investigación de la Universidad de Sevillainstname:Universidad de Sevilla (US)InglésSensors, 13 (12), 16894-16914.http://dx.doi.org/10.3390/s131216894info:eu-repo/semantics/openAccessoai:idus.us.es:11441/495772026-06-17T12:51:07Z
dc.title.none.fl_str_mv A New Blondin System for Surveying and Photogrammetry
title A New Blondin System for Surveying and Photogrammetry
spellingShingle A New Blondin System for Surveying and Photogrammetry
Cuesta Rojo, Federico
Sensors integration
Surveying
Construction site
Cascaded extended Kalman filter (EKF)
Structure from motion (SfM)
Dense point cloud
Digital surface model (DSM)
title_short A New Blondin System for Surveying and Photogrammetry
title_full A New Blondin System for Surveying and Photogrammetry
title_fullStr A New Blondin System for Surveying and Photogrammetry
title_full_unstemmed A New Blondin System for Surveying and Photogrammetry
title_sort A New Blondin System for Surveying and Photogrammetry
dc.creator.none.fl_str_mv Cuesta Rojo, Federico
López-Rodríguez, Francisco M.
Esteban, Antonio
author Cuesta Rojo, Federico
author_facet Cuesta Rojo, Federico
López-Rodríguez, Francisco M.
Esteban, Antonio
author_role author
author2 López-Rodríguez, Francisco M.
Esteban, Antonio
author2_role author
author
dc.contributor.none.fl_str_mv Ingeniería de Sistemas y Automática
dc.subject.none.fl_str_mv Sensors integration
Surveying
Construction site
Cascaded extended Kalman filter (EKF)
Structure from motion (SfM)
Dense point cloud
Digital surface model (DSM)
topic Sensors integration
Surveying
Construction site
Cascaded extended Kalman filter (EKF)
Structure from motion (SfM)
Dense point cloud
Digital surface model (DSM)
description The main objective of the system presented in this paper is to provide surveyors and engineers with a new photogrammetry device that can be easily integrated with surveying total stations and a global navigation satellite system (GNSS) infrastructure at a construction site, taking advantage of their accuracy and overcoming limitations of aerial vehicles with respect to weight, autonomy and skilled operator requirements in aerial photogrammetry. The system moves between two mounting points, in a blondin ropeway configuration, at the construction site, taking pictures and recording the data of the position and the orientation along the cable path. A cascaded extended Kalman filter is used to integrate measurements from the on-board inertial measurement unit (IMU), a GPS and a GNSS. Experimental results taken in a construction site show the system performance, including the validation of the position estimation, with a robotic surveying total station, or the creation of a digital surface model (DSM), using the emergent structure from motion (SfM) techniques and open software. The georeferencing of the DSM is performed based on estimated camera position or using ground control points (GCPs)
publishDate 2013
dc.date.none.fl_str_mv 2013
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11441/49577
https://doi.org/10.3390/s131216894
url http://hdl.handle.net/11441/49577
https://doi.org/10.3390/s131216894
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Sensors, 13 (12), 16894-16914.
http://dx.doi.org/10.3390/s131216894
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:idUS. Depósito de Investigación de la Universidad de Sevilla
instname:Universidad de Sevilla (US)
instname_str Universidad de Sevilla (US)
reponame_str idUS. Depósito de Investigación de la Universidad de Sevilla
collection idUS. Depósito de Investigación de la Universidad de Sevilla
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.301603

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