Road disease detection method based on deep learning

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...

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.

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