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Calculation of Target-Specific Point Distribution for 2D Mobile Laser Scanners

The current generation of Mobile Mapping Systems (MMSs) capture high density spatial data in a short time-frame. The quantity of data is difficult to predict as there is no concrete understanding of the point density that different scanner configurations and hardware settings will exhibit for object...

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Detalles Bibliográficos
Autores principales: Cahalane, Conor, McElhinney, Conor P., Lewis, Paul, McCarthy, Tim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118401/
https://www.ncbi.nlm.nih.gov/pubmed/24871989
http://dx.doi.org/10.3390/s140609471
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author Cahalane, Conor
McElhinney, Conor P.
Lewis, Paul
McCarthy, Tim
author_facet Cahalane, Conor
McElhinney, Conor P.
Lewis, Paul
McCarthy, Tim
author_sort Cahalane, Conor
collection PubMed
description The current generation of Mobile Mapping Systems (MMSs) capture high density spatial data in a short time-frame. The quantity of data is difficult to predict as there is no concrete understanding of the point density that different scanner configurations and hardware settings will exhibit for objects at specific distances. Obtaining the required point density impacts survey time, processing time, data storage and is also the underlying limit of automated algorithms. This paper details a novel method for calculating point and profile information for terrestrial MMSs which are required for any point density calculation. Through application of algorithms utilising 3D surface normals and 2D geometric formulae, the theoretically optimal profile spacing and point spacing are calculated on targets. Both of these elements are a major factor in calculating point density on arbitrary objects, such as road signs, poles or buildings-all important features in asset management surveys.
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spelling pubmed-41184012014-08-01 Calculation of Target-Specific Point Distribution for 2D Mobile Laser Scanners Cahalane, Conor McElhinney, Conor P. Lewis, Paul McCarthy, Tim Sensors (Basel) Article The current generation of Mobile Mapping Systems (MMSs) capture high density spatial data in a short time-frame. The quantity of data is difficult to predict as there is no concrete understanding of the point density that different scanner configurations and hardware settings will exhibit for objects at specific distances. Obtaining the required point density impacts survey time, processing time, data storage and is also the underlying limit of automated algorithms. This paper details a novel method for calculating point and profile information for terrestrial MMSs which are required for any point density calculation. Through application of algorithms utilising 3D surface normals and 2D geometric formulae, the theoretically optimal profile spacing and point spacing are calculated on targets. Both of these elements are a major factor in calculating point density on arbitrary objects, such as road signs, poles or buildings-all important features in asset management surveys. MDPI 2014-05-27 /pmc/articles/PMC4118401/ /pubmed/24871989 http://dx.doi.org/10.3390/s140609471 Text en © 2014 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Cahalane, Conor
McElhinney, Conor P.
Lewis, Paul
McCarthy, Tim
Calculation of Target-Specific Point Distribution for 2D Mobile Laser Scanners
title Calculation of Target-Specific Point Distribution for 2D Mobile Laser Scanners
title_full Calculation of Target-Specific Point Distribution for 2D Mobile Laser Scanners
title_fullStr Calculation of Target-Specific Point Distribution for 2D Mobile Laser Scanners
title_full_unstemmed Calculation of Target-Specific Point Distribution for 2D Mobile Laser Scanners
title_short Calculation of Target-Specific Point Distribution for 2D Mobile Laser Scanners
title_sort calculation of target-specific point distribution for 2d mobile laser scanners
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4118401/
https://www.ncbi.nlm.nih.gov/pubmed/24871989
http://dx.doi.org/10.3390/s140609471
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