A Mitigation Method for Optical-Turbulence-Induced Errors and Optimal Target Design in Vision-Based Displacement...

Area of Science:

• Engineering
• Computer Vision
• Optical Physics

Background:

• Computer vision displacement measurement is crucial for structural health monitoring.
• Optical turbulence in imaging causes significant errors, reducing measurement accuracy.
• Existing methods struggle to mitigate these turbulence-induced errors effectively.

Purpose of the Study:

• To develop a novel method for mitigating optical turbulence errors in computer vision-based displacement measurements.
• To enhance the accuracy and reliability of displacement measurements for structural health monitoring.
• To propose optimal target design criteria for improved performance under varying conditions.

Main Methods:

• A multi-measurement point method utilizing spatial randomness to mitigate optical turbulence errors.
• Static target experiments to verify the effectiveness of the proposed method.
• Dynamic target experiments to evaluate performance under real-world conditions.

Main Results:

• Static experiments showed up to an 82% Root Mean Square Error (RMSE) correction rate.
• Dynamic experiments achieved a 69% RMSE correction rate after error mitigation.
• The method effectively improves displacement measurement accuracy and preserves detailed results.

Conclusions:

• The proposed multi-measurement point method successfully mitigates optical turbulence errors.
• The technique enhances the accuracy of computer vision-based displacement measurements for structural health monitoring.
• Optimal target design criteria are proposed to maximize the method's effectiveness.