Study of Doming in Structure from Motion for Retaining Wall Inspection
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Bibliographic Details
| Author(s): |
Maxwell Wondolowski
(University of Connecticut, Storrs, CT, United States)
Alexandra Hain (University of Connecticut, Storrs, CT, United States) Sarira Motaref (University of Connecticut, Storrs, CT, United States) Michael Grilliot (University of Washington, Seattle, WA, United States) |
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| Medium: | conference paper | ||||
| Language(s): | English | ||||
| Conference: | IABSE Congress: Beyond Structural Engineering in a Changing World, San José, Cost Rica, 25-27 Seotember 2024 | ||||
| Published in: | IABSE Congress San José 2024 | ||||
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| Page(s): | 1057-1064 | ||||
| Total no. of pages: | 8 | ||||
| DOI: | 10.2749/sanjose.2024.1057 | ||||
| Abstract: |
This paper explores the utilization of Structure from Motion Photogrammetry (SfM) in lab and field settings to identify bulging and leaning in masonry retaining walls, then compare the results with Structured-Light Scanning (SLS) and LiDAR. SfM's value as a cost-effective and potentially accurate alternative to LiDAR or SLS is explored while its susceptibility to doming distortions is discussed. Through controlled trials and comparative analysis using CloudCompare, the mitigation of doming distortions is examined alongside its impact on the quality of SfM-generated 3D models. This comprehensive study uncovers the potential of SfM as a reliable tool for retaining wall inspection while also emphasizing the importance of strategic implementation that considers inherent limitations for accurate and data-centered structural assessments. |
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| Keywords: |
retaining walls 3d imaging structure from motion photogrammetry (SfM) structured- light scanning (SLS) light distance and ranging (LiDAR) point cloud comparison imaging structural inspection doming
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