Comparison of Image-Based and Time-of-Flight-Based Technologies for Three-Dimensional Reconstruction of Infrastructure
AbstractAs-built spatial data are useful in many construction-related applications, such as quality control and progress monitoring. These data can be collected using a number of imaging and time-of-flight-based (e.g., laser scanning) sensor methods. Each application will demand a particular level o...
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Published in | Journal of construction engineering and management Vol. 139; no. 1; pp. 69 - 79 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Reston, VA
American Society of Civil Engineers
01.01.2013
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Subjects | |
Online Access | Get full text |
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Summary: | AbstractAs-built spatial data are useful in many construction-related applications, such as quality control and progress monitoring. These data can be collected using a number of imaging and time-of-flight-based (e.g., laser scanning) sensor methods. Each application will demand a particular level of data accuracy and quality, yet little information is available to help engineers choose the most cost-effective approach. This paper presents an analytical and quantitative comparison of photogrammetric, videogrammetric, and time-of-flight-based methods. This comparison is done with respect to accuracy, quality, time efficiency, and cost. To this end, representative image-based three-dimensional reconstruction software and commercially available hardware (two cameras and a time-of-flight-based laser scanner) are evaluated. Spatial data of typical infrastructure (two bridges and a building) are collected under different settings. The experimental parameters include camera type, resolution, and shooting distance for the imaging sensors. By comparing these data with the ground truth collected by a total station, it is revealed that video/photogrammetry can produce results of moderate accuracy and quality but at a much lower cost as compared to laser scanning. The obtained information is useful to help engineers make cost-effective decisions and help researchers better understand the performance impact of these settings for the sensor technologies. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 0733-9364 1943-7862 |
DOI: | 10.1061/(ASCE)CO.1943-7862.0000565 |