Pit slot volume rapid identification and detection method for road repair

By pre-processing and denoising the three-dimensional point cloud data in the road groove area, and plane fitting combined with the Alpha shapes operator, the cross-sectional area and volume of the sliced ​​point cloud are calculated, the problem of low accuracy in groove volume measurement in the prior art is solved, and the rapid and accurate identification of the road groove volume is achieved.

CN119693442AActive Publication Date: 2025-03-25HEFEI UNIV OF TECH
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Patent Information

Application Number
CN202411762637.4
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-03
Publication Date
2025-03-25
Estimated Expiration
2044-12-03

AI Technical Summary

Technical Problem

In the prior art, the measurement accuracy of road groove volume is low, which is limited by the irregular shape of the groove and the randomness of the detection environment.

Method used

By obtaining three-dimensional point cloud data containing the recessed areas of the pavement, pre-processing and edge point recognition, noise reduction processing is performed using growth algorithm and k-means clustering algorithm, plane fitting is combined with the Alpha shapes operator, and the cross-sectional area and volume of the sliced ​​point cloud are calculated to obtain the volume of the groove.

Benefits of technology

Improve the accuracy and completeness of groove volume measurement, reduce the randomness and noise impact of measurement, and achieve rapid and accurate identification of road groove volume.

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Abstract

The invention relates to the field of road pit volume identification, in particular to a pit slot volume rapid identification and detection method for road repair. The method comprises the steps: carrying out the preprocessing of the obtained three-dimensional point cloud data containing a road surface groove region, so as to reduce the point cloud noise, and obtaining a suspected upper edge point and a suspected lower edge point based on a horizontal included angle threshold value and a depth threshold value; according to the method, the suspected upper edge points and the suspected lower edge points are used for carrying out bidirectional edge search to obtain the complete edge of the groove area, the randomness of determining the area edge in a conventional method is reduced, the integrity and accuracy of groove segmentation are improved, and finally, the groove point cloud data are segmented to obtain slice point clouds, so that the segmentation efficiency is improved. And obtaining the boundary of the point cloud of each slice based on an Alpha shape operator, and finally obtaining the volume of the whole groove by calculating the cross sectional area and the volume of the point cloud of each slice. The problem that the measurement accuracy of the volume of the road groove is low in the prior art is solved.
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