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Traffic sign recognition method and device, computer equipment and storage medium

A technology of traffic sign recognition and traffic sign, which is applied in the direction of computer parts, calculation, character and pattern recognition, etc., can solve problems such as insufficient efficiency and insufficient sample balance, and achieve the effect of improving recognition efficiency and shortening the time used for recognition

Pending Publication Date: 2020-10-09
CHANGSHA INTELLIGENT DRIVING INST CORP LTD
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Problems solved by technology

[0003] Traffic sign recognition is one of the important modules of the current intelligent assisted driving system. The current mainstream target detection algorithm is mainly based on the deep learning model. This method needs to train the network through a large number of data sets. There are some such methods in the existing technology. However, the traffic sign recognition methods in the prior art all have problems such as insufficient sample balance and insufficient efficiency.

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  • Traffic sign recognition method and device, computer equipment and storage medium
  • Traffic sign recognition method and device, computer equipment and storage medium
  • Traffic sign recognition method and device, computer equipment and storage medium

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Embodiment Construction

[0054] In order to make the purpose, technical solution and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present application, and are not intended to limit the present application.

[0055] The traffic sign recognition method provided by this application can be applied to such as figure 1 shown in the application environment. Wherein, the terminal 110 communicates with the server 120 through the network.

[0056] In some of these embodiments, the application environment may involve both the terminal 110 and the server 120 . The server 120 acquires the picture to be recognized inputted through the terminal 110, firstly, the detector model identifies the picture to be recognized to determine the position information and blur category information of the...

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Abstract

The invention relates to a traffic sign recognition method and device, computer equipment and a storage medium. The method comprises the steps of obtaining a to-be-recognized picture; determining position information and fuzzy category information of target information in the to-be-identified picture based on a detector model determined through training; determining a foreground picture of the to-be-identified picture according to the position information, wherein the foreground picture comprises target information; determining a corresponding classifier model obtained through training according to the fuzzy category information; and identifying the foreground picture through a classifier model, and determining the specific category information of the traffic sign of the target informationin the to-be-identified picture. Through the above method, according to the traffic sign recognition method, the traffic sign can be recognized only by inputting the to-be-recognized picture into themodel obtained through training, and finally the specific category of the traffic sign contained in the to-be-recognized picture is output, so that the recognition time of the traffic sign can be shortened, the recognition efficiency can be improved, and corresponding prompts can be conveniently made according to the recognized specific category.

Description

technical field [0001] The present application relates to the technical field of image recognition, in particular to a traffic sign recognition method, device, computer equipment and storage medium. Background technique [0002] With the development of traffic, there are more and more vehicles, and the traffic accidents that follow are more and more common. The road conditions in our country are complex and there are many traffic signs. There may be great differences in the regulations on the road in various places, so the traffic signs set are also very different, so the identification of traffic signs appears. [0003] Traffic sign recognition is one of the important modules of the current intelligent assisted driving system. The current mainstream target detection algorithm is mainly based on the deep learning model. This method needs to train the network through a large number of data sets. There are some such methods in the existing technology. However, the traffic sig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/582G06F18/241
Inventor 胡荣东黄倩倩谢伟连春燕
Owner CHANGSHA INTELLIGENT DRIVING INST CORP LTD