Displacement monitoring for slope stability evaluation based on binocular vision systems

Abstract

Landslide monitoring systems play an important part in slope engineering, and effective monitoring techniques can ensure the safety of slopes. This paper proposes an accurate and stable slope displacement monitoring method based on binocular vision systems. In the binocular vision system, Zhang’s calibration algorithm is used to calibrate the camera parameters, which are critical for gathering accurate motion measurements. Measurement accuracy analysis is performed by adjusting the baseline distance from 0.2 m to 3.6 m and measurement distance from 1 m to 10 m during calibration and measurement, and the error curves for measurements are obtained. The results obtained illustrate that the accuracy is affected by the ratio of the baseline distance to the measurement distance. Displacement monitoring of a slope model is performed to demonstrate the practicality of the system and verify its accuracy. Results show that the proposed binocular vision based approach is convenient and accurate for slope displacement monitoring.