在基于视觉的桥梁位移测量中,用于缓解热雾引起的错误的新方法
Xintong Kong1, Baoquan Wang1, Dongming Feng1
1School of Civil Engineering, Southeast University, Nanjing 211189, China.
Sensors (Basel, Switzerland)
|August 29, 2024
概括
本研究介绍了一种基于视觉的方法来测量桥梁位移,有效地减轻热雾扭曲. 该技术通过纠正静态测试中的超过61%的错误和动态测试中的95%的错误,显著提高了准确性.
科学领域:
- 结构工程 结构工程
- 计算机视觉 计算机视觉
- 光学测量 测量 光学测量
背景情况:
- 基于视觉的技术对于监测结构位移至关重要.
- 热雾引入图像扭曲,影响测量精度.
- 现有的方法缺乏强大的热雾缓解能力.
研究的目的:
- 提出一种基于视觉的桥梁位移测量技术,以减轻热雾.
- 评估拟议方法在纠正热雾引起的错误方面的有效性.
主要方法:
- 图像采集和分析用于结构位移监测.
- 双树复杂波纹转换 (DT-CWT) 的应用用于减轻热雾.
- 使用加快的强大特征 (SURF) 算法进行位移提取.
主要成果:
- 视觉系统在没有热雾的条件下实现了高精度.
- 在静态实验中,DT-CWT缓解方法纠正了61.05%的热雾误差.
- 缓解方法在动态实验中纠正了95.31%的热雾误差.
结论:
- 提出的基于视觉的技术有效地测量了桥梁位移.
- 在热雾条件下,DT-CWT方法显著提高了测量精度.
- 这种方法为在热流的环境中进行结构监测提供了可靠的解决方案.
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