Monocular Vision-Based Depth Displacement Measurement of Base Isolators

DOI

10.2991/978-94-6463-793-9_5How to use a DOI?

Keywords

Seismic isolation bearing; Monocular vision; PnP algorithm; Video super-resolution; 3D displacement

Abstract

In response to the simultaneous movement of seismic isolators and cameras during earthquakes, this paper proposes a three-dimensional displacement measurement method based on monocular vision. This method involves placing a chessboard target on the upper and lower supports of the isolator and using a camera to monitor the target. The system identifies image feature points and calculates the relative position between the camera and the target using corner detection and the PnP algorithm, thereby determining the positional relationship between the targets and calculating the three-dimensional displacement of the seismic isolator. To improve image clarity, this paper introduces video super-resolution processing technology. Real-time hybrid experiment results show that, despite the increased measurement error due to camera movement, the displacement measurement accuracy of this method is still controlled within 2.5mm, demonstrating its effectiveness under the impact of earthquakes.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Weiquan Luo
AU  - Yu Dang
PY  - 2025
DA  - 2025/07/28
TI  - Monocular Vision-Based Depth Displacement Measurement of Base Isolators
BT  - Proceedings of the 2025 8th International Conference on Traffic Transportation and Civil Architecture (ICTTCA 2025)
PB  - Atlantis Press
SP  - 44
EP  - 54
SN  - 2589-4943
UR  - https://doi.org/10.2991/978-94-6463-793-9_5
DO  - 10.2991/978-94-6463-793-9_5
ID  - Luo2025
ER  -