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Related Experiment Video

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A Novel Method for Heat Haze-Induced Error Mitigation in Vision-Based Bridge Displacement Measurement.

Xintong Kong¹, Baoquan Wang¹, Dongming Feng¹

¹School of Civil Engineering, Southeast University, Nanjing 211189, China.

Sensors (Basel, Switzerland)

|August 29, 2024

Summary

This study introduces a vision-based method for measuring bridge displacement, effectively mitigating heat haze distortions. The technique significantly improves accuracy by correcting over 61% of errors in static and 95% in dynamic tests.

Keywords:

computer vision displacement measurement heat haze mitigation

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Area of Science:

Structural Engineering
Computer Vision
Optical Measurement

Background:

Vision-based techniques are crucial for structural displacement monitoring.
Heat haze introduces image distortions, compromising measurement precision.
Existing methods lack robust heat haze mitigation capabilities.

Purpose of the Study:

To propose a vision-based bridge displacement measurement technique with heat haze mitigation.
To evaluate the effectiveness of the proposed method in correcting heat haze-induced errors.

Main Methods:

Image acquisition and analysis for structural displacement monitoring.
Application of Dual-Tree Complex Wavelet Transform (DT-CWT) for heat haze mitigation.
Utilizing Speeded-Up Robust Features (SURF) algorithm for displacement extraction.

Main Results:

The vision system achieved high accuracy in heat haze-free conditions.
The DT-CWT mitigation method corrected 61.05% of heat haze errors in static experiments.
The mitigation method corrected 95.31% of heat haze errors in dynamic experiments.

Conclusions:

The proposed vision-based technique effectively measures bridge displacement.
The DT-CWT approach significantly enhances measurement accuracy under heat haze conditions.
This method offers a reliable solution for structural monitoring in environments with thermal turbulence.