Road position intelligent recognition and interference source elimination method

Abstract

The invention provides a road position intelligent recognition and interference source elimination method. The method comprises the steps of 1, data preprocessing, including the steps of performing background denoising on original data of a ground penetrating radar, setting a zero line and performing gain and sliding averaging; 2, interference source recognition and elimination, wherein an interference source sample library is established, and automatic recognition and effective elimination of an interference source are realized through machine learning; and 3, position tracking and information extraction, wherein a reference road seed point is used as a center to establish a three-level window operator, and tracking and judgment are sequentially performed till acquired position coordinateinformation meets a requirement. The core of the method is a "three-level window operator" position tracking algorithm, and precise positioning and recognition on a tracking road position can be realized.

Description

technical field [0001] The invention belongs to the technical field of ground penetrating radar detection applications, and relates to a method for intelligent identification of road layers and elimination of interference sources. The method includes data preprocessing, identification and elimination of interference sources, layer tracking and information extraction. The core is the "three-level window operator" layer tracking algorithm, which can solve the problems of low recognition accuracy, inaccurate positioning, and "cross-layer" existing in the existing road layer recognition and tracking algorithms. Background technique [0002] With the rapid development of my country's economy, the highway mileage is also increasing. By the end of 2018, the country's existing highway mileage is 4.7735 million kilometers. The quality inspection of new roads, the aging of existing roads, and road surface damage caused by natural or human factors all require high-precision detection o...

AI Technical Summary

Problems solved by technology

At present, the methods that can be used for road layer thickness detection mainly include artificial destructive detection methods (coring method and drilling method, etc.), geophysical nondestructive detection methods, etc. The destructive detection method has high accuracy but low detection efficiency, ground penetrating radar Although the non-destructive detection method has the advantages of high detection efficiency, the existing road layer recognition and tracking algorithms still have low recognition accuracy, inaccurate positioning, and "cross-layer" phenomena.

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