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Method and device for identifying traffic sign, electronic equipment and storage medium

A technology of traffic signs and signs, applied in scene recognition, biological neural network models, instruments, etc., can solve the problems of low recognition accuracy, low recognition efficiency, and misrecognition.

Pending Publication Date: 2022-03-01
BEIJING BAIDU NETCOM SCI & TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, at present, the recognition of traffic signs is only based on a single feature, and there is a possibility of misrecognition, which leads to low recognition accuracy. In the future, it is necessary to rely on manual methods to review the recognition results again, resulting in low recognition efficiency.

Method used

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  • Method and device for identifying traffic sign, electronic equipment and storage medium
  • Method and device for identifying traffic sign, electronic equipment and storage medium
  • Method and device for identifying traffic sign, electronic equipment and storage medium

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Embodiment Construction

[0032] Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and they should be regarded as exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.

[0033] Embodiments of the present disclosure provide a method, device, electronic device, storage medium and computer program product for recognizing traffic signs. The above method includes: using a first detection model to detect the first traffic sign on the original image to obtain a first sign area potentially containing the first traffic sign; using a second detec...

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PUM

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Abstract

The invention provides a traffic sign recognition method and device, electronic equipment, a storage medium and a computer program product, and relates to the technical field of image processing, in particular to the technical field of intelligent traffic. According to the specific implementation scheme, a first detection model is used for detecting a first traffic sign on an original image, and a first sign area potentially containing the first traffic sign is obtained; detecting a second traffic sign on the original image by using a second detection model to obtain a second sign area potentially containing the second traffic sign; determining the overlapping degree of the first mark area and the second mark area; and when it is determined that the original image contains the first traffic sign according to the overlapping degree, identifying the content of the first traffic sign.

Description

technical field [0001] The present disclosure relates to the technical field of image processing, in particular to the technical field of intelligent transportation, and in particular to a method, device, electronic equipment, storage medium and computer program product for recognizing traffic signs. Background technique [0002] With the popularization of the mobile Internet, navigation electronic products are widely used in driving and traveling in combination with mobile phones, driving recorders, car machines and other multi-platform devices. [0003] In traditional technology, the data collected by the on-board camera is usually used to automatically identify traffic signs, and to provide users with broadcast forecasts by assisting the navigation system. However, the current recognition of traffic signs is only based on a single feature, and there is a possibility of misrecognition, which leads to low recognition accuracy. In the future, it is necessary to rely on manua...

Claims

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Application Information

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IPC IPC(8): G06V20/58G06V30/146G06V30/148G06V10/82G06N3/04
CPCG06N3/045
Inventor 王珊珊杨建忠张刘辉王春萍叶于辉耿铭金卢振
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD