Unlock instant, AI-driven research and patent intelligence for your innovation.

A Pavement Damage Detection Method Based on Joint Detector

A damage detection and detector technology, applied in the field of intelligent transportation research, can solve the problems that the detection and recognition rate needs to be improved, and achieve the effect of improving detection efficiency and intelligent management basis

Active Publication Date: 2018-07-06
SOUTHEAST UNIV
View PDF3 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the most widely used method is pavement damage detection based on digital image processing technology, but the detection and recognition rate still needs to be improved. Therefore, it is of great theoretical and practical significance to study effective pavement damage detection methods to improve the automatic recognition of pavement damage.

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Pavement Damage Detection Method Based on Joint Detector
  • A Pavement Damage Detection Method Based on Joint Detector
  • A Pavement Damage Detection Method Based on Joint Detector

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0033] The technical solution of the present invention will be further described below in conjunction with specific embodiments:

[0034] A method for detecting pavement damage based on a joint detector, comprising the following steps:

[0035] Step 1: The road marking information in the road image can be removed by performing grayscale constraints on the collected road image. For any pixel point I(i,j) in the road image, there are:

[0036]

[0037] Step 2: The road damage image is easily affected by trees, fences and buildings on both sides of the road to form shadows. The existence of shadows makes the pixels in the shadow area in the image darker, which seriously affects the detection of damage information in the road image. . This patent adopts the image shadow removal method based on the brightness elevation model to eliminate the shadow in the road surface image, the specific method is as follows:

[0038] 1) The road surface image is processed by gray-scale morpho...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a pavement damage detection method based on a joint detector, which comprises the following steps: 1) adopting gray scale constraints to eliminate marking information of road surface images; 2) adopting a brightness elevation model to eliminate shadow areas of road surface images; 3) adopting The wavelet threshold method is used to preprocess the pavement image to eliminate the noise in the pavement image; 4) The road surface damage joint detector is constructed by using the neighborhood gray level difference method, the local gray level minimum analysis method and the block marking method, and the preprocessed 5) Use the target connected domain to locate the damaged area of ​​the road image. The invention is used to improve the detection efficiency of road surface damage, and provides efficient and intelligent management basis for road management work, especially road surface maintenance.

Description

technical field [0001] The invention relates to the field of intelligent traffic research, in particular to a road surface damage detection method for road management departments to carry out road surface maintenance management. Background technique [0002] The increase in traffic volume, large-scale vehicles, serious overloading and other phenomena lead to the appearance of road surface damage, which seriously affects the safety and comfort of road traffic. Pavement maintenance is the focus of highway maintenance, and pavement damage status plays an important role in pavement maintenance decision-making as the basis of pavement maintenance management. The types of pavement images include transverse cracks, longitudinal cracks, network cracks and normal types. The traditional pavement damage detection method uses manual detection, but this method has low work efficiency, high labor intensity, high degree of operation risk, and is affected by weather conditions, etc. The im...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V20/588
Inventor 赵池航张秋各党倩
Owner SOUTHEAST UNIV