Three-dimensional information based detection algorithm for cement concrete pavement structure depth

Abstract

The invention discloses a three-dimensional information based detection algorithm for the cement concrete pavement structure depth. The detection algorithm specifically comprises the steps of inputting a three-dimensional image data matrix and performing filtering processing on data; successively taking each line of the three-dimensional image data matrix Q after filtering processing to calculate line by line structure depths corresponding to each line, calculating the structure depths A1, A2,... and Am line by line, and averaging the m structure depths to obtain the pavement structure depth of an image acquisition area. According to the three-dimensional information based detection algorithm, the calculation is simple, operation time is short, and labor partition is not required; and face measurement is used, and the pavement structure depth can be detected by only inputting the acquired three-dimensional image data of the cement concrete pavement, accordingly, the detection algorithm is high in efficiency and accurate in detection.

Description

technical field [0001] The invention belongs to the field of road engineering, and in particular relates to a three-dimensional information-based detection algorithm of cement concrete pavement structure depth. Background technique [0002] With the increase of traffic volume and the continuous increase of vehicle speed, traffic accidents continue to occur, which makes the anti-skid problem of the road surface more and more prominent. The occurrence of traffic accidents has a great relationship with the skid resistance of the pavement, and there is a good correlation between the average texture of the pavement and the structural depth of the pavement section. Texture depth, also known as texture depth, refers to the average depth of the uneven open pores on a certain area of ​​road surface. The texture depth of the cement concrete surface reflects the macroscopic structure of the cement concrete surface, and is an important index to evaluate the anti-skid and drainage perfo...

AI Technical Summary

Problems solved by technology

Among them, the artificial sand topping method is inefficient and the test structure is disturbed by many factors, the reproducibility is poor, and it is not easy to measure in wet weather. For roads with long mileage, only certain road sections can be selected for sampling survey, which reduces the impact of test results. Evaluation of the pavement structure depth of the entire road section; the digital image detection method is greatly affected by the light intensity and light angle of the external environment, and the image processing algorithm needs to be further improved; the results obtained by the laser rangefinder are discontinuous and cannot be true Reproduce the microscopic texture features of the road surface, so the error is large

Although the existing structural depth algorithm is simple in calculation and short in running time, it is also suitable for use in real-time systems, but the accuracy of the algorithm is not high enough

In summary, the existing detection technology has problems such as large errors and low efficiency. Therefore, it is very necessary to study a cement concrete pavement structure depth detection device with high degree of automation, convenient operation, high efficiency and high detection accuracy.

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