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Traffic sign recognition method and related device

A traffic sign recognition and traffic sign technology, applied in the field of traffic sign recognition methods and related devices, can solve the problems of being easily affected by environmental factors, affecting the accuracy of traffic sign recognition, and low recognition accuracy.

Active Publication Date: 2020-12-08
TENCENT TECH (SHENZHEN) CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned method of detecting traffic signs using line segments with slash features has low recognition accuracy when traffic signs are blocked, deformed, rotated, etc., and is easily affected by environmental factors, which in turn affects the accuracy of traffic sign recognition. sex

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  • Traffic sign recognition method and related device
  • Traffic sign recognition method and related device
  • Traffic sign recognition method and related device

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Embodiment Construction

[0098] The embodiment of the present application provides a traffic sign recognition method and related devices, which can be applied to a system or program that includes a traffic sign recognition function in a terminal device. By acquiring driving information, the driving information includes multiple driving images; and then determining the driving The target traffic sign and confidence information in the image; and aggregate the driving image based on the target traffic sign to obtain group information, the group information is used to indicate the set of driving images containing the target traffic sign, and the group information includes the confidence determined based on the confidence information ; When the confidence level satisfies the preset condition, it is determined that the sign information corresponding to the group information is the sign information of the target traffic sign. In this way, the automatic recognition process of traffic signs is realized. Since t...

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Abstract

The invention discloses a traffic sign recognition method based on a neural network and a related device, and relates to the deep learning technology of artificial intelligence. The method comprises the steps of obtaining driving information, wherein the driving information comprises multiple driving images; determining a target traffic sign and confidence information in the driving images; aggregating the driving images based on the target traffic sign to obtain grouping information; and when the confidence meets a preset condition, determining the sign information corresponding to the grouping information as the sign information of the target traffic sign. Therefore, the automatic identification process of the traffic sign is realized, and the sign judgment is performed by adopting the information after the aggregation of the target traffic sign, so that the identification difficulty caused by the short-time environmental influence is avoided, and the accuracy of the traffic sign recognition is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to a traffic sign recognition method and related devices. Background technique [0002] With the rapid development of artificial intelligence, more and more intelligent identification devices appear in people's lives. For example, in the process of transportation, artificial intelligence can be used to identify traffic signs and then issue corresponding reminders. [0003] Generally, the recognition methods of traffic signs are mainly based on traditional feature recognition algorithms. That is, the recognition algorithm based on traditional features uses the line segment with slash features to find a triangle mark or a circle mark from the captured image; or prohibition class road traffic sign. [0004] However, the above-mentioned method of detecting traffic signs using line segments with slash features has low recognition accuracy when traffic signs are blocked, def...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/41G06V20/582G06F18/214
Inventor 陆嘉欣
Owner TENCENT TECH (SHENZHEN) CO LTD