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Road traffic sign identification method and device

A technology for road traffic and signs, applied in the field of image processing, can solve problems such as difficulty in ensuring real-time performance and accuracy, and large workload.

Pending Publication Date: 2022-05-13
QINGDAO HISENSE TRANS TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, in complex traffic scenarios, judging the status of traffic signs usually requires a dedicated person, with a heavy workload and difficulty in ensuring real-time and accuracy

Method used

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  • Road traffic sign identification method and device
  • Road traffic sign identification method and device

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Embodiment Construction

[0035] The technical solutions in the embodiments of the present application will be described clearly and in detail below in conjunction with the accompanying drawings. Among them, in the description of the embodiments of the present application, unless otherwise specified, " / " means or means, for example, A / B can mean A or B; "and / or" in the text is only a description of associated objects The association relationship indicates that there may be three kinds of relationships, for example, A and / or B, which may indicate: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiment of the present application , "plurality" means two or more than two.

[0036] Hereinafter, the terms "first" and "second" are used for descriptive purposes only, and cannot be understood as implying or implying relative importance or implicitly specifying the quantity of indicated technical features. Therefore, the features defined as "first" ...

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PUM

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Abstract

The invention discloses a road traffic sign identification method and device, and relates to the technical field of image processing. The method comprises the following steps: acquiring a to-be-recognized image; based on a MobileNet v2 network, carrying out feature extraction on the image; based on an MLFPN network, performing multi-level and multi-scale feature extraction on the features extracted by the MobileNet v2 network to obtain at least one candidate traffic sign board bounding box, and traffic sign board categories and confidence coefficients corresponding to the bounding boxes in the at least one candidate traffic sign board bounding box; according to the confidence degree corresponding to each candidate traffic sign board bounding box, selecting a traffic sign board bounding box meeting a confidence degree requirement from the at least one candidate traffic sign board bounding box, and obtaining an identified target traffic sign board; and based on a RepVGG network, performing state detection on the target traffic sign board to obtain the state of the target traffic sign board.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to a method and device for recognizing road traffic signs. Background technique [0002] With the development of traffic roads, traffic signs on the road play an important role in the process of vehicle travel. For example, to separate motor vehicles, non-motor vehicles and pedestrians, improve road utilization, reduce or prevent traffic accidents; another example, the road signs on the road can feed back the road information in front of the driver, so that the driver can make advance decisions. Operation prediction; as another example, some yield signs can warn drivers to slow down and yield, improving traffic safety, etc. [0003] Since the traffic signs are generally placed in the outdoor environment, affected by the natural environment (such as wind and rain) and human factors, it is inevitable that they will be dumped and faded. At present, in complex traff...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06V20/58G06K9/62G06N3/04G06N3/08G06V10/25G06V10/774G06V10/82
CPCG06N3/08G06N3/045G06F18/214
Inventor 陈维强王雯雯冯远宏刘爱华
Owner QINGDAO HISENSE TRANS TECH