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Method and device for detecting damaged area in expressway and computer equipment

A technology for damaged areas and highways, applied in the computer field, can solve the problems of high risk factor, low detection efficiency, low accuracy, etc., and achieve the effect of reducing risk factor, improving efficiency, and reducing time-consuming

Pending Publication Date: 2019-11-22
PING AN TECH (SHENZHEN) CO LTD
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  • Abstract
  • Description
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Problems solved by technology

[0004] In view of this, the present application provides a method, device and computer equipment for detecting damaged areas in expressways. The main purpose is to solve the problems of low detection efficiency and low accuracy when detecting damaged areas in expressways. , and the problem with high risk factor

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  • Method and device for detecting damaged area in expressway and computer equipment
  • Method and device for detecting damaged area in expressway and computer equipment
  • Method and device for detecting damaged area in expressway and computer equipment

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Embodiment Construction

[0021] Hereinafter, the present application will be described in detail with reference to the accompanying drawings and embodiments. It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other.

[0022] In view of the problems of low detection efficiency, low accuracy, and high risk factor that are likely to occur when detecting damaged areas in expressways, the embodiment of the present application provides a method for detecting damaged areas in expressways, such as figure 1 As shown, the method includes:

[0023] 101. Use an edge detection algorithm to perform edge detection on the acquired target detection picture.

[0024] Wherein, in this embodiment, the edge detection algorithm adopted is the Canny algorithm, which can ensure that as many edges as possible can be detected with a lower error rate, and the detected edges can be accurately positioned at the center of th...

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Abstract

The invention discloses a method and device for detecting a damaged area in an expressway and computer equipment, relates to the technical field of computers, and can solve the problems that when thedamaged area in the expressway is detected, the detection efficiency is low, the accuracy is low, and the danger coefficient is high. The method comprises the following steps: carrying out edge detection on an obtained target detection picture by utilizing an edge detection algorithm; segmenting a lane area picture from the target detection picture according to an edge detection result; and performing damage detection on the lane area according to the lane area picture, and extracting lane damage information. The application is suitable for detecting the damaged area in the expressway.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a method, device and computer equipment for detecting damaged areas in expressways. Background technique [0002] The expressway has the characteristics of large traffic volume, fast speed, and heavy load. Therefore, during the long-term operation, it will be affected by natural factors and vehicle loads, which will cause certain damage to the roadbed and pavement, thus affecting the road. Usability, causing safety hazards to passing cars, so improving road surface detection technology, enhancing the accuracy and timeliness of road surface damage detection, has important research significance for the modernization level of highways, especially expressways. [0003] As far as the development of pavement detection technology at home and abroad is concerned, the automation level and detection accuracy of pavement damage detection need to be further improved. Low, low ac...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/12G06T7/13G06T7/187
CPCG06T7/0008G06T7/13G06T7/12G06T7/187G06T2207/30132
Inventor 雷晨雨
Owner PING AN TECH (SHENZHEN) CO LTD
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