用事件相机和LED标记实现高频率结构变形的精准测量
Asynchronous Event Stream Noise Filtering for High-frequency Structure Deformation Measurement
- 基于事件流特征与时空相关性过滤观测噪声
- 区分运动与LED闪烁事件，成功提取高速移动的LED标记
- 单目事件相机即可实现高精度平面变形测量，适合工程监测
大型结构在复杂荷载作用下会产生高频变形，但传统高速摄像机受恶劣光照和高昂设备成本限制。本文提出一种基于事件相机与LED标记的方法来测量高频变形：首先利用LED闪烁的事件流特征及时空相关性过滤观测噪声；然后通过区分运动引起的事件与LED闪烁事件，实现对高速移动LED标记的提取；最终借助单目事件相机测量高频率平面变形。实验结果验证了该方法在测量高频平面变形上的准确性。
原文摘要 · Abstract (English)
Large-scale structures suffer high-frequency deformations due to complex loads. However, harsh lighting conditions and high equipment costs limit measurement methods based on traditional high-speed cameras. This paper proposes a method to measure high-frequency deformations by exploiting an event camera and LED markers. Firstly, observation noise is filtered based on the characteristics of the event stream generated by LED markers blinking and spatiotemporal correlation. Then, LED markers are extracted from the event stream after differentiating between motion-induced events and events from LED blinking, which enables the extraction of high-speed moving LED markers. Ultimately, high-frequency planar deformations are measured by a monocular event camera. Experimental results confirm the accuracy of our method in measuring high-frequency planar deformations.
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