The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 11, 2025

Filed:

Dec. 09, 2022
Applicant:

Guangzhou University, Guangdong, CN;

Inventors:

Hai Liu, Guangdong, CN;

Xu Meng, Guangdong, CN;

Chao Liu, Guangdong, CN;

Jie Cui, Guangdong, CN;

Assignee:

Guangzhou University, Guangzhou, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G01S 13/88 (2006.01); G01S 7/41 (2006.01);
U.S. Cl.
CPC ...
G01S 13/885 (2013.01); G01S 7/417 (2013.01);
Abstract

A ground penetrating radar and deep learning-based underground pipeline detection method and system. Said method comprises: acquiring sample data of known underground pipelines by means of a ground penetrating radar, and establishing an GPR B-scan dataset according to the sample data; performing training according to the GPR B-scan dataset to obtain a YOLOv3 model, the YOLOv3 model being used for identifying hyperbolic data of the underground pipelines; detecting underground pipeline targets in a real radar image by means of the YOLOv3 model; and precisely locating the positions of pipelines by means of an RTK measurement instrument. Said method is based on a ground penetrating radar and a YOLOv3 model, and can accurately identify hyperbolic targets of pipelines in ground penetrating radar images, thereby improving the detection efficiency and reducing time costs. The present invention can be widely applied to the field of engineering non-destructive testing.


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