A 3D texture dataset of 27 km road

This dataset represents the 3D road surface texture of a route of 27 km long in a resolution of 0.1 m approximatively in both longitudinal and transversal directions. The first purpose of the dataset is to test numerical programs that need road surface topographies as input. The dataset is composed...

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Detalles Bibliográficos
Autor principal: Kane, Malal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Data Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900215/
https://www.ncbi.nlm.nih.gov/pubmed/33665251
http://dx.doi.org/10.1016/j.dib.2021.106855
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author Kane, Malal
author_facet Kane, Malal
author_sort Kane, Malal
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description This dataset represents the 3D road surface texture of a route of 27 km long in a resolution of 0.1 m approximatively in both longitudinal and transversal directions. The first purpose of the dataset is to test numerical programs that need road surface topographies as input. The dataset is composed of 2658 text files and each representing a section of that route. The data was collected with the Harris2, a vehicle operated by TRL (Transport Research Laboratory from the UK), equipped with a LiDAR (Light Detection and Ranging) and a PPS (Road-Profile System). The files are presented in a regular grid achieved by merging the LIDAR and the PPS data into 3D coordinates.
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spelling pubmed-79002152021-03-03 A 3D texture dataset of 27 km road Kane, Malal Data Brief Data Article This dataset represents the 3D road surface texture of a route of 27 km long in a resolution of 0.1 m approximatively in both longitudinal and transversal directions. The first purpose of the dataset is to test numerical programs that need road surface topographies as input. The dataset is composed of 2658 text files and each representing a section of that route. The data was collected with the Harris2, a vehicle operated by TRL (Transport Research Laboratory from the UK), equipped with a LiDAR (Light Detection and Ranging) and a PPS (Road-Profile System). The files are presented in a regular grid achieved by merging the LIDAR and the PPS data into 3D coordinates. Elsevier 2021-02-09 /pmc/articles/PMC7900215/ /pubmed/33665251 http://dx.doi.org/10.1016/j.dib.2021.106855 Text en © 2021 The Author(s) http://creativecommons.org/licenses/by/4.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Data Article
Kane, Malal
A 3D texture dataset of 27 km road
title A 3D texture dataset of 27 km road
title_full A 3D texture dataset of 27 km road
title_fullStr A 3D texture dataset of 27 km road
title_full_unstemmed A 3D texture dataset of 27 km road
title_short A 3D texture dataset of 27 km road
title_sort 3d texture dataset of 27 km road
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900215/
https://www.ncbi.nlm.nih.gov/pubmed/33665251
http://dx.doi.org/10.1016/j.dib.2021.106855
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