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Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping
Automated processing of the data provided by a laser-based mobile mapping system will be a necessity due to the huge amount of data produced. In the future, vehicle-based laser scanning, here called mobile mapping, should see considerable use for road environment modelling. Since the geometry of the...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705502/ https://www.ncbi.nlm.nih.gov/pubmed/27873812 http://dx.doi.org/10.3390/s8095238 |
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author | Jaakkola, Anttoni Hyyppä, Juha Hyyppä, Hannu Kukko, Antero |
author_facet | Jaakkola, Anttoni Hyyppä, Juha Hyyppä, Hannu Kukko, Antero |
author_sort | Jaakkola, Anttoni |
collection | PubMed |
description | Automated processing of the data provided by a laser-based mobile mapping system will be a necessity due to the huge amount of data produced. In the future, vehicle-based laser scanning, here called mobile mapping, should see considerable use for road environment modelling. Since the geometry of the scanning and point density is different from airborne laser scanning, new algorithms are needed for information extraction. In this paper, we propose automatic methods for classifying the road marking and kerbstone points and modelling the road surface as a triangulated irregular network. On the basis of experimental tests, the mean classification accuracies obtained using automatic method for lines, zebra crossings and kerbstones were 80.6%, 92.3% and 79.7%, respectively. |
format | Online Article Text |
id | pubmed-3705502 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | Molecular Diversity Preservation International (MDPI) |
record_format | MEDLINE/PubMed |
spelling | pubmed-37055022013-07-09 Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping Jaakkola, Anttoni Hyyppä, Juha Hyyppä, Hannu Kukko, Antero Sensors (Basel) Article Automated processing of the data provided by a laser-based mobile mapping system will be a necessity due to the huge amount of data produced. In the future, vehicle-based laser scanning, here called mobile mapping, should see considerable use for road environment modelling. Since the geometry of the scanning and point density is different from airborne laser scanning, new algorithms are needed for information extraction. In this paper, we propose automatic methods for classifying the road marking and kerbstone points and modelling the road surface as a triangulated irregular network. On the basis of experimental tests, the mean classification accuracies obtained using automatic method for lines, zebra crossings and kerbstones were 80.6%, 92.3% and 79.7%, respectively. Molecular Diversity Preservation International (MDPI) 2008-09-01 /pmc/articles/PMC3705502/ /pubmed/27873812 http://dx.doi.org/10.3390/s8095238 Text en © 2008 by the authors; licensee Molecular Diversity Preservation International, 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 Jaakkola, Anttoni Hyyppä, Juha Hyyppä, Hannu Kukko, Antero Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping |
title | Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping |
title_full | Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping |
title_fullStr | Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping |
title_full_unstemmed | Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping |
title_short | Retrieval Algorithms for Road Surface Modelling Using Laser-Based Mobile Mapping |
title_sort | retrieval algorithms for road surface modelling using laser-based mobile mapping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3705502/ https://www.ncbi.nlm.nih.gov/pubmed/27873812 http://dx.doi.org/10.3390/s8095238 |
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