A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling
The automated 3D modeling of indoor spaces is a rapidly advancing field, in which recent developments have made the modeling process more accessible to consumers by lowering the cost of instruments and offering a highly automated service for 3D model creation. We compared the performance of three lo...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/12/16/2624 |
| _version_ | 1827709742390181888 |
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| author | Matias Ingman Juho-Pekka Virtanen Matti T. Vaaja Hannu Hyyppä |
| author_facet | Matias Ingman Juho-Pekka Virtanen Matti T. Vaaja Hannu Hyyppä |
| author_sort | Matias Ingman |
| collection | DOAJ |
| description | The automated 3D modeling of indoor spaces is a rapidly advancing field, in which recent developments have made the modeling process more accessible to consumers by lowering the cost of instruments and offering a highly automated service for 3D model creation. We compared the performance of three low-cost sensor systems; one RGB-D camera, one low-end terrestrial laser scanner (TLS), and one panoramic camera, using a cloud-based processing service to automatically create mesh models and point clouds, evaluating the accuracy of the results against a reference point cloud from a higher-end TLS. While adequately accurate results could be obtained with all three sensor systems, the TLS performed the best both in terms of reconstructing the overall room geometry and smaller details, with the panoramic camera clearly trailing the other systems and the RGB-D offering a middle ground in terms of both cost and quality. The results demonstrate the attractiveness of fully automatic cloud-based indoor 3D modeling for low-cost sensor systems, with the latter providing better model accuracy and completeness, and with all systems offering a rapid rate of data acquisition through an easy-to-use interface. |
| first_indexed | 2024-03-10T17:26:07Z |
| format | Article |
| id | doaj.art-3f6c99faeaef436394b300179bcf63bd |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T17:26:07Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-3f6c99faeaef436394b300179bcf63bd2023-11-20T10:09:43ZengMDPI AGRemote Sensing2072-42922020-08-011216262410.3390/rs12162624A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D ModelingMatias Ingman0Juho-Pekka Virtanen1Matti T. Vaaja2Hannu Hyyppä3Department of Built Environment, School of Engineering, Aalto University, P. O. Box 14100, FI-00076 Aalto, FinlandDepartment of Built Environment, School of Engineering, Aalto University, P. O. Box 14100, FI-00076 Aalto, FinlandDepartment of Built Environment, School of Engineering, Aalto University, P. O. Box 14100, FI-00076 Aalto, FinlandDepartment of Built Environment, School of Engineering, Aalto University, P. O. Box 14100, FI-00076 Aalto, FinlandThe automated 3D modeling of indoor spaces is a rapidly advancing field, in which recent developments have made the modeling process more accessible to consumers by lowering the cost of instruments and offering a highly automated service for 3D model creation. We compared the performance of three low-cost sensor systems; one RGB-D camera, one low-end terrestrial laser scanner (TLS), and one panoramic camera, using a cloud-based processing service to automatically create mesh models and point clouds, evaluating the accuracy of the results against a reference point cloud from a higher-end TLS. While adequately accurate results could be obtained with all three sensor systems, the TLS performed the best both in terms of reconstructing the overall room geometry and smaller details, with the panoramic camera clearly trailing the other systems and the RGB-D offering a middle ground in terms of both cost and quality. The results demonstrate the attractiveness of fully automatic cloud-based indoor 3D modeling for low-cost sensor systems, with the latter providing better model accuracy and completeness, and with all systems offering a rapid rate of data acquisition through an easy-to-use interface.https://www.mdpi.com/2072-4292/12/16/26243D modelingindoor modeling3D reconstructionmulti-sensorlaser scanningRGB-D camera |
| spellingShingle | Matias Ingman Juho-Pekka Virtanen Matti T. Vaaja Hannu Hyyppä A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling Remote Sensing 3D modeling indoor modeling 3D reconstruction multi-sensor laser scanning RGB-D camera |
| title | A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling |
| title_full | A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling |
| title_fullStr | A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling |
| title_full_unstemmed | A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling |
| title_short | A Comparison of Low-Cost Sensor Systems in Automatic Cloud-Based Indoor 3D Modeling |
| title_sort | comparison of low cost sensor systems in automatic cloud based indoor 3d modeling |
| topic | 3D modeling indoor modeling 3D reconstruction multi-sensor laser scanning RGB-D camera |
| url | https://www.mdpi.com/2072-4292/12/16/2624 |
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