Academic Journal
Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table
| Title: | Distributed High-Speed Videogrammetry for Real-Time 3D Displacement Monitoring of Large Structure on Shaking Table |
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| Authors: | Haibo Shi, Peng Chen, Xianglei Liu, Zhonghua Hong, Zhen Ye, Yi Gao, Ziqi Liu, Xiaohua Tong |
| Source: | Remote Sensing, Vol 16, Iss 23, p 4345 (2024) |
| Publisher Information: | MDPI AG, 2024. |
| Publication Year: | 2024 |
| Collection: | LCC:Science |
| Subject Terms: | high-speed camera, distributed system, global reconstruction, large FOV calibration, displacement measurement, shaking table, Science |
| More Details: | The accurate and timely acquisition of high-frequency three-dimensional (3D) displacement responses of large structures is crucial for evaluating their condition during seismic excitation on shaking tables. This paper presents a distributed high-speed videogrammetric method designed to rapidly measure the 3D displacement of large shaking table structures at high sampling frequencies. The method uses non-coded circular targets affixed to key points on the structure and an automatic correspondence approach to efficiently estimate the extrinsic parameters of multiple cameras with large fields of view. This process eliminates the need for large calibration boards or manual visual adjustments. A distributed computation and reconstruction strategy, employing the alternating direction method of multipliers, enables the global reconstruction of time-sequenced 3D coordinates for all points of interest across multiple devices simultaneously. The accuracy and efficiency of this method were validated through comparisons with total stations, contact sensors, and conventional approaches in shaking table tests involving large structures with RCBs. Additionally, the proposed method demonstrated a speed increase of at least six times compared to the advanced commercial photogrammetric software. It could acquire 3D displacement responses of large structures at high sampling frequencies in real time without requiring a high-performance computing cluster. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2072-4292 27607445 |
| Relation: | https://www.mdpi.com/2072-4292/16/23/4345; https://doaj.org/toc/2072-4292 |
| DOI: | 10.3390/rs16234345 |
| Access URL: | https://doaj.org/article/97a27607445b4900bceacfa09059aa33 |
| Accession Number: | edsdoj.97a27607445b4900bceacfa09059aa33 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 20724292 27607445 |
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| DOI: | 10.3390/rs16234345 |
| Published in: | Remote Sensing |
| Language: | English |