Road disease detection method based on deep learning

A technology of deep learning and road damage, applied in the field of intelligent transportation, can solve problems such as low detection efficiency and harsh working environment, and achieve the effects of high risk, convenient vehicle modification, and reduced work intensity

Pending Publication Date: 2020-04-28
COSCO SHIPPING TECH CO LTD
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the detection of road diseases is mainly based on manual detection methods. The staff work outdoors for a long time, the detection efficiency is low and the working environment is harsh. How to realize the automatic detection of road surface diseases is the main research content of road maintenance at present.

Method used

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  • Road disease detection method based on deep learning
  • Road disease detection method based on deep learning
  • Road disease detection method based on deep learning

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Embodiment

[0032] Example: such as figure 1 As shown, the embodiment of the present invention includes a road disease detection method based on deep learning, which relieves the work pressure of maintenance personnel and improves detection accuracy. This method mainly detects road defects such as the height difference of the road manhole cover, unclear markings, cracks, potholes, etc., and uploads the detection results to the background. The whole process is automatically completed without manual intervention. The method includes the following steps:

[0033] (S1) Acquire an image of a road.

[0034] To obtain images, equipment such as cameras, on-board processors, tablet controllers, and 4G wireless routers can be installed on maintenance vehicles. The maintenance vehicle is equipped with high-definition vehicle cameras, vehicle processors, tablet controllers and high-speed 4G wireless routers. The high-definition vehicle-mounted camera is used to obtain real-time video and video rec...

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Abstract

The invention discloses a road disease detection method based on deep learning. The method comprises the following steps: (S1) acquiring an image of a road; (2) inputting the image of the road into adeep learning recognition model to obtain a disease detection recognition result; (S3) correcting the disease detection and identification result; and (S4) adding GPS coordinates, a road name and thetype of the road disease to the image with the identified road disease. According to the method, automatic detection of diseases can be realized, detection personnel only need to be in the maintenancevehicle to obtain pavement information, manual intervention is not needed in the whole process, and the working intensity of the personnel is greatly reduced. When the method is implemented, only thehigh-definition camera needs to be installed above the roof of the maintenance vehicle, the industrial personal computer, the router and other devices are all placed below a driving position or in atrunk, the attractiveness of the vehicle is not affected, and the vehicle is convenient to transform.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a method for detecting road defects based on deep learning. Background technique [0002] With the development of the economy, the investment cost of my country's road facilities is increasing year by year, and road maintenance is also a problem that we have been paying attention to. After the highway is completed, it is affected by factors such as climate, geological conditions, traffic volume, load capacity, etc. With the increase of the number of years, the road will be damaged to varying degrees. The road maintenance department needs to regularly inspect and maintain the road. At present, the detection of road diseases is mainly based on manual detection methods. The staff work outdoors for a long time, the detection efficiency is low and the working environment is harsh. How to realize the automatic detection of road surface diseases is the main research c...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T7/136G06N3/04G06N3/08G06T5/30
CPCG06T7/0002G06N3/08G06T5/30G06T7/136G06T2207/20084G06T2207/20081G06T2207/30184G06N3/045
Inventor 刘俊袁彬李川王军群
Owner COSCO SHIPPING TECH CO LTD
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