Road surface detection method and system for smart city based on computer vision

A computer vision and road pavement technology, applied in computer parts, calculation, image analysis, etc., can solve problems such as untimely detection, prone to sensor failure, vehicle bumps, etc., to improve accuracy and speed, and shorten detection costs The time and the effect of reducing the amount of matching calculation

CN113554646BActive Publication Date: 2021-12-10江苏正金建筑装饰工程有限公司
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Publication Date
2021-12-10

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Abstract

The invention relates to the field of road pavement detection, in particular to a computer vision-based smart city road pavement detection method and system. Obtain the reference image and the comparison image of the road surface area to be detected, and preprocess them; perform edge detection on the reference image to obtain each edge area of ​​the reference image; based on each edge area of ​​the reference image, pixel Points are matched, and the smoothness of the road surface to be detected can be determined according to the matching results of the pixel points. The invention realizes the real-time detection of the smoothness of the road surface, improves the accuracy of the road detection, and shortens the time used for the road surface detection.
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Description

technical field

[0001] This application relates to the field of road pavement detection, in particular to a computer vision-based smart city road pavement detection method and system. Background technique

[0002] With the rapid development of society, the number of vehicles in cities has also increased, but road safety has gradually become an issue worthy of attention. Among them, the smoothness of the road has a serious impact on the driving of the vehicle, especially at night, when the car is driving on the uneven road, it will bring great trouble to the driver, and even cause traffic accidents. At present, most of the roads in small cities have unevenness, which will cause bumps and other phenomena in the driving process of the vehicle. In severe cases, it will cause damage to the chassis and bumpers of the vehicle, wasting a lot of time and money.

[0003] At present, road detection is usually carried out by human detection or sensor detection, which has great limitati...

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Embodiment Construction

[0059] In order to further explain the technical means and effects of the present invention to achieve the intended purpose of the invention, the specific implementation methods, The structure, characteristics and effects thereof are described in detail as follows. In the following description, different "one embodiment" or "another embodiment" do not necessarily refer to the same embodiment. Furthermore, the particular features, structures, or characteristics of one or more embodiments may be combined in any suitable manner.

[0060] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the technical field of the invention.

[0061] A specific scheme of a computer vision-based smart city road pavement detection method provided by the present invention will be described in detail below in conjunction with the accompanying drawings.

[0062] see figure 1 , which shows a flow chart of ...