Cargando…
Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations
The combination of LiDAR with other technologies for numerisation is increasingly applied in the field of building, design, and geoscience, as it often brings time and cost advantages in 3D data survey processes. In this paper, the reconstruction of 3D point cloud datasets is studied, through an exp...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965470/ https://www.ncbi.nlm.nih.gov/pubmed/36850565 http://dx.doi.org/10.3390/s23041967 |
_version_ | 1784896771795714048 |
---|---|
author | Catharia, Orphé Richard, Franck Vignoles, Henri Véron, Philippe Aoussat, Améziane Segonds, Frédéric |
author_facet | Catharia, Orphé Richard, Franck Vignoles, Henri Véron, Philippe Aoussat, Améziane Segonds, Frédéric |
author_sort | Catharia, Orphé |
collection | PubMed |
description | The combination of LiDAR with other technologies for numerisation is increasingly applied in the field of building, design, and geoscience, as it often brings time and cost advantages in 3D data survey processes. In this paper, the reconstruction of 3D point cloud datasets is studied, through an experimental protocol evaluation of new LiDAR sensors on smartphones. To evaluate and analyse the 3D point cloud datasets, different experimental conditions are considered depending on the acquisition mode and the type of object or surface being scanned. The conditions allowing us to obtain the most accurate data are identified and used to propose which acquisition protocol to use. This protocol seems to be the most adapted when using these LiDAR sensors to digitise complex interior buildings such as railway stations. This paper aims to propose: (i) a methodology to suggest the adaptation of an experimental protocol based on factors (distance, luminosity, surface, time, and incidence) to assess the precision and accuracy of the smartphone LiDAR sensor in a controlled environment; (ii) a comparison, both qualitative and quantitative, of smartphone LiDAR data with other traditional 3D scanner alternatives (Faro X130, VLX, and Vz400i) while considering three representative building interior environments; and (iii) a discussion of the results obtained in a controlled and a field environment, making it possible to propose recommendations for the use of the LiDAR smartphone at the end of the numerisation of the interior space of a building. |
format | Online Article Text |
id | pubmed-9965470 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99654702023-02-26 Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations Catharia, Orphé Richard, Franck Vignoles, Henri Véron, Philippe Aoussat, Améziane Segonds, Frédéric Sensors (Basel) Article The combination of LiDAR with other technologies for numerisation is increasingly applied in the field of building, design, and geoscience, as it often brings time and cost advantages in 3D data survey processes. In this paper, the reconstruction of 3D point cloud datasets is studied, through an experimental protocol evaluation of new LiDAR sensors on smartphones. To evaluate and analyse the 3D point cloud datasets, different experimental conditions are considered depending on the acquisition mode and the type of object or surface being scanned. The conditions allowing us to obtain the most accurate data are identified and used to propose which acquisition protocol to use. This protocol seems to be the most adapted when using these LiDAR sensors to digitise complex interior buildings such as railway stations. This paper aims to propose: (i) a methodology to suggest the adaptation of an experimental protocol based on factors (distance, luminosity, surface, time, and incidence) to assess the precision and accuracy of the smartphone LiDAR sensor in a controlled environment; (ii) a comparison, both qualitative and quantitative, of smartphone LiDAR data with other traditional 3D scanner alternatives (Faro X130, VLX, and Vz400i) while considering three representative building interior environments; and (iii) a discussion of the results obtained in a controlled and a field environment, making it possible to propose recommendations for the use of the LiDAR smartphone at the end of the numerisation of the interior space of a building. MDPI 2023-02-09 /pmc/articles/PMC9965470/ /pubmed/36850565 http://dx.doi.org/10.3390/s23041967 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Catharia, Orphé Richard, Franck Vignoles, Henri Véron, Philippe Aoussat, Améziane Segonds, Frédéric Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations |
title | Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations |
title_full | Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations |
title_fullStr | Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations |
title_full_unstemmed | Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations |
title_short | Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations |
title_sort | smartphone lidar data: a case study for numerisation of indoor buildings in railway stations |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9965470/ https://www.ncbi.nlm.nih.gov/pubmed/36850565 http://dx.doi.org/10.3390/s23041967 |
work_keys_str_mv | AT cathariaorphe smartphonelidardataacasestudyfornumerisationofindoorbuildingsinrailwaystations AT richardfranck smartphonelidardataacasestudyfornumerisationofindoorbuildingsinrailwaystations AT vignoleshenri smartphonelidardataacasestudyfornumerisationofindoorbuildingsinrailwaystations AT veronphilippe smartphonelidardataacasestudyfornumerisationofindoorbuildingsinrailwaystations AT aoussatameziane smartphonelidardataacasestudyfornumerisationofindoorbuildingsinrailwaystations AT segondsfrederic smartphonelidardataacasestudyfornumerisationofindoorbuildingsinrailwaystations |