Smartphone LiDAR Data: A Case Study for Numerisation of Indoor Buildings in Railway Stations

被引:8
作者
Catharia, Orphe [1 ,2 ]
Richard, Franck [1 ]
Vignoles, Henri [1 ]
Veron, Philippe [3 ]
Aoussat, Ameziane [2 ]
Segonds, Frederic [2 ]
机构
[1] SNCF Gares & Connex, F-75013 Paris, France
[2] HESAM Univ, Arts & Metiers Inst Technol, LCPI, F-75013 Paris, France
[3] HESAM Univ, Arts & Metiers Inst Technol, LISPEN, F-13617 Aix En Provence, France
关键词
LiDAR smartphone; BIM; 3D laser scanner; 3D point cloud; spatial data analysis; digital mockup; KINECT V2 SENSOR; BIM;
D O I
10.3390/s23041967
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:24
相关论文
共 43 条
[1]  
3DScanApp, US
[2]   Evaluation of Handheld Scanners for Automotive Applications [J].
Ameen, Wadea ;
Al-Ahmari, Abdulrahman M. ;
Mian, Syed Hammad .
APPLIED SCIENCES-BASEL, 2018, 8 (02)
[3]  
Aslan I., 2022, ADV LIDAR, V2, P10
[4]  
Balado J., 2022, NEW TRENDS LASER SCA, V258
[5]   A Survey of Surface Reconstruction from Point Clouds [J].
Berger, Matthew ;
Tagliasacchi, Andrea ;
Seversky, Lee M. ;
Alliez, Pierre ;
Guennebaud, Gael ;
Levine, Joshua A. ;
Sharf, Andrei ;
Silva, Claudio T. .
COMPUTER GRAPHICS FORUM, 2017, 36 (01) :301-329
[6]   Effect of target color and scanning geometry on terrestrial LiDAR point-cloud noise and plane fitting [J].
Bolkas, Dimitrios ;
Martinez, Aaron .
JOURNAL OF APPLIED GEODESY, 2018, 12 (01) :109-127
[7]   Low-cost sensors for rapid mapping of cultural heritage: first tests using a COTS Steadicamera [J].
Calantropio A. ;
Patrucco G. ;
Sammartano G. ;
Teppati Losè L. .
Applied Geomatics, 2018, 10 (1) :31-45
[8]   Smartphone LiDAR Technologies for Surveying and Reality Modelling in Urban Scenarios: Evaluation Methods, Performance and Challenges [J].
Costantino, Domenica ;
Vozza, Gabriele ;
Pepe, Massimiliano ;
Alfio, Vincenzo Saverio .
APPLIED SYSTEM INNOVATION, 2022, 5 (04)
[9]   A framework for integrating BIM and IoT through open standards [J].
Dave, Bhargav ;
Buda, Andrea ;
Nurminen, Antti ;
Framling, Kary .
AUTOMATION IN CONSTRUCTION, 2018, 95 :35-45
[10]   FROM BIM TO DIGITAL TWINS: A SYSTEMATIC REVIEW OF THE EVOLUTION OF INTELLIGENT BUILDING REPRESENTATIONS IN THE AEC-FM INDUSTRY [J].
Deng, Min ;
Menassa, Carol C. ;
Kamat, Vineet R. .
JOURNAL OF INFORMATION TECHNOLOGY IN CONSTRUCTION, 2021, 26 :58-83