SITEGI Project: Applying Geotechnologies to Road Inspection. Sensor Integration and software processing
Infrastructure management represents a critical economic milestone. The current decision-making process in infrastructure rehabilitation is essentially based on qualitative parameters obtained from visual inspections and subject to the ability of technicians. In order to increase both efficiency a...
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doaj-1b7032741889444e9c21bf320223184b2020-11-24T23:06:36ZengCopernicus PublicationsISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences2194-90422194-90502013-10-01II-5-W218118610.5194/isprsannals-II-5-W2-181-2013SITEGI Project: Applying Geotechnologies to Road Inspection. Sensor Integration and software processingJ. Martínez-Sánchez0M. Nogueira1H. González-Jorge2M. Solla3P. Arias4Applied Geotechnologies Research Group, Mining School. Universidade de Vigo, Maxwell Av, As Lagoas Campus, 36310, Vigo, SpainApplied Geotechnologies Research Group, Mining School. Universidade de Vigo, Maxwell Av, As Lagoas Campus, 36310, Vigo, SpainApplied Geotechnologies Research Group, Mining School. Universidade de Vigo, Maxwell Av, As Lagoas Campus, 36310, Vigo, SpainApplied Geotechnologies Research Group, Mining School. Universidade de Vigo, Maxwell Av, As Lagoas Campus, 36310, Vigo, SpainApplied Geotechnologies Research Group, Mining School. Universidade de Vigo, Maxwell Av, As Lagoas Campus, 36310, Vigo, SpainInfrastructure management represents a critical economic milestone. The current decision-making process in infrastructure rehabilitation is essentially based on qualitative parameters obtained from visual inspections and subject to the ability of technicians. In order to increase both efficiency and productivity in infrastructure management, this work addresses the integration of different instrumentation and sensors in a mobile mapping vehicle. This vehicle allows the continuous recording of quantitative data suitable for roadside inspection. The geometric integration and synchronization of these sensors is achieved through hardware and/or software strategies that permit the georeferencing of the data obtained with each sensor. In addition, a visualization software for simpler data management was implemented using Qt framework, PCL library and C++. As a result, the developed system supports the decision-making in road inspection, providing quantitative information suitable for sophisticated analysis systems.https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/181/2013/isprsannals-II-5-W2-181-2013.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
J. Martínez-Sánchez M. Nogueira H. González-Jorge M. Solla P. Arias |
spellingShingle |
J. Martínez-Sánchez M. Nogueira H. González-Jorge M. Solla P. Arias SITEGI Project: Applying Geotechnologies to Road Inspection. Sensor Integration and software processing ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
author_facet |
J. Martínez-Sánchez M. Nogueira H. González-Jorge M. Solla P. Arias |
author_sort |
J. Martínez-Sánchez |
title |
SITEGI Project: Applying Geotechnologies to Road Inspection. Sensor Integration and software processing |
title_short |
SITEGI Project: Applying Geotechnologies to Road Inspection. Sensor Integration and software processing |
title_full |
SITEGI Project: Applying Geotechnologies to Road Inspection. Sensor Integration and software processing |
title_fullStr |
SITEGI Project: Applying Geotechnologies to Road Inspection. Sensor Integration and software processing |
title_full_unstemmed |
SITEGI Project: Applying Geotechnologies to Road Inspection. Sensor Integration and software processing |
title_sort |
sitegi project: applying geotechnologies to road inspection. sensor integration and software processing |
publisher |
Copernicus Publications |
series |
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences |
issn |
2194-9042 2194-9050 |
publishDate |
2013-10-01 |
description |
Infrastructure management represents a critical economic milestone. The current decision-making process in infrastructure rehabilitation
is essentially based on qualitative parameters obtained from visual inspections and subject to the ability of technicians. In order
to increase both efficiency and productivity in infrastructure management, this work addresses the integration of different instrumentation
and sensors in a mobile mapping vehicle. This vehicle allows the continuous recording of quantitative data suitable for roadside
inspection. The geometric integration and synchronization of these sensors is achieved through hardware and/or software strategies
that permit the georeferencing of the data obtained with each sensor. In addition, a visualization software for simpler data management
was implemented using Qt framework, PCL library and C++. As a result, the developed system supports the decision-making in road
inspection, providing quantitative information suitable for sophisticated analysis systems. |
url |
https://www.isprs-ann-photogramm-remote-sens-spatial-inf-sci.net/II-5-W2/181/2013/isprsannals-II-5-W2-181-2013.pdf |
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