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Linked Open Data
3D point cloud data processing and infrastructure information models: methods and findings from safeway project
Identificadores del recurso
ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, XLIII-B2-2021, 239-246 (2021)
21949034
http://hdl.handle.net/11093/2309
10.5194/isprs-archives-XLIII-B2-2021-239-2021
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLIII-B2-2021/239/2021/
Procedència
(Investigo)

Fitxa

Títol:
3D point cloud data processing and infrastructure information models: methods and findings from safeway project
Tema:
3305.06 Ingeniería Civil
3310.04 Ingeniería de Mantenimiento
3323.02 Equipo Ferroviario
Descripció:
Monitoring and digitalization are key to improve the resilience of the infrastructure network in the context of assessing its disaster management cycle. SAFEWAY is a project funded by the H2020 framework that aims to assess infrastructure resilience integrating multiscale information attending to all modes of disaster management cycle. This work presents the methodologies developed in the project for road and rail infrastructure monitoring and modelling, using remotely sensed data from Mobile Mapping Systems (MMS). First, 3D point clouds of both road and rail infrastructure are heuristically processed, obtaining geometric and semantic information from the most relevant assets, as well as the alignment, which is a key entity for generating information models. Such models are computed following the specifications of the Industry Foundation Classes (IFC) 4.1 schema, considering its current limitations and future potential for linear infrastructure modelling. Finally, the information is centralized in a core software platform where a user interface has been developed to aid visualization and interpretation of the resulting data.
Agencia Estatal de Investigación | Ref. RTI2018-095893-B-C21
Agencia Estatal de Investigación | Ref. FJC2018-035550-I
Idioma:
English
Relació:
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/RTI2018-095893-B-C21/ES/EVALUACION DE CICLO DE VIDA DE ESTRUCTURAS DE PUENTES EXISTENTES UTILIZANDO DATOS MULTIESCALA Y MULTIFUENTES
info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/FJC2018-035550-I/ES
info:eu-repo/grantAgreement/EC/H2020/769255
Autor/Productor:
Soilán Rodríguez, Mario
Justo Dominguez, Andrés
Sánchez Rodríguez, Ana
Lamas Novoa, Daniel
Riveiro Rodríguez, Belén
Editor:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Enxeñaría dos materiais, mecánica aplicada e construción
Xeotecnoloxías Aplicadas
Drets:
Atribución 4.0 Internacional
https://creativecommons.org/licenses/by/4.0/deed.es
openAccess
Data:
2021-07-05T08:55:13Z
2021-06-28
2021-07-05T08:14:30Z
Tipo de recurso:
article

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              2. <mods:namePart>Soilán Rodríguez, Mario</mods:namePart>

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              2. <mods:namePart>Sánchez Rodríguez, Ana</mods:namePart>

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              2. <mods:namePart>Lamas Novoa, Daniel</mods:namePart>

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              1. <mods:dateAccessioned encoding="iso8601">2021-07-05T08:55:13Z</mods:dateAccessioned>

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            9. <mods:identifier type="citation">ISPRS - International Archives of the Photogrammetry Remote Sensing and Spatial Information Sciences, XLIII-B2-2021, 239-246 (2021)</mods:identifier>

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            14. <mods:abstract>Monitoring and digitalization are key to improve the resilience of the infrastructure network in the context of assessing its disaster management cycle. SAFEWAY is a project funded by the H2020 framework that aims to assess infrastructure resilience integrating multiscale information attending to all modes of disaster management cycle. This work presents the methodologies developed in the project for road and rail infrastructure monitoring and modelling, using remotely sensed data from Mobile Mapping Systems (MMS). First, 3D point clouds of both road and rail infrastructure are heuristically processed, obtaining geometric and semantic information from the most relevant assets, as well as the alignment, which is a key entity for generating information models. Such models are computed following the specifications of the Industry Foundation Classes (IFC) 4.1 schema, considering its current limitations and future potential for linear infrastructure modelling. Finally, the information is centralized in a core software platform where a user interface has been developed to aid visualization and interpretation of the resulting data.</mods:abstract>

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              1. <mods:title>3D point cloud data processing and infrastructure information models: methods and findings from safeway project</mods:title>

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