Abstract
Dangerous rock collapse may cause traffic accidents and other potential traffic safety hazards in mountainous areas. In this paper, aiming at the problem that dangerous rock collapse disaster is difficult to monitor and judge, a method of measuring the cross section area of collapse rock is proposed based on parallel binocular vision, which is convenient for the relevant departments to deal with the emergency ahead of time. This paper first calibrates the binocular camera on the MATLAB platform, and then corrects and matches the collected images on the OpenCV platform. The feasibility of measuring area by pixel method and spatial coordinate method is verified by using regular triangular and rectangular shapes. Then the pixel method is applied to the measurement of cross sectional area of rock collapse, which provides a method for predicting the disaster grade of collapse of dangerous rock.
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