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Road sign recognition method and device and electronic equipment

A technology of road signs and recognition methods, applied in the field of devices and electronic equipment, and road sign recognition methods, can solve problems that affect the accuracy of road signs and cannot effectively identify road signs

Pending Publication Date: 2020-07-07
SHENYANG MXNAVI CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in actual traffic application scenarios, the image acquisition process may be affected by factors such as motion blur, background interference, weather conditions, and shooting angles. The method cannot effectively identify the road signs in the image, which affects the accuracy of road sign detection

Method used

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  • Road sign recognition method and device and electronic equipment
  • Road sign recognition method and device and electronic equipment
  • Road sign recognition method and device and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0030] see figure 1 The flow chart of a road sign recognition method shown in the figure can be applied to a processing terminal, such as a vehicle terminal, a mobile terminal or a background server, but is not limited to it. The method is based on a pre-trained road sign recognition model, see figure 1 , the method includes the following steps:

[0031] Step S101, acquiring an image to be detected.

[0032] For example, multiple cameras with different angles can be installed on the vehicle, and images in various scenes can be obtained through these cameras, and the images are the images to be detected.

[0033] Step S102, input the image to be detected into the pre-trained road sign recognition model.

[0034] Wherein, the above-mentioned road sign recognition model is obtained through training based on a sample image set, and the sample image set includes sample images with interference items. The interference item may include interference caused by factors such as motio...

Embodiment 2

[0091] The embodiment of the present invention also provides a road sign recognition device, the road sign recognition device is mainly used to implement the road sign recognition method provided by the above content of the embodiment of the present invention, the road sign recognition device provided by the embodiment of the present invention will be described in detail below introduce.

[0092] Figure 5 is a schematic diagram of a road sign recognition device according to an embodiment of the present invention, such as Figure 5 As shown, the road sign recognition device mainly includes: an image acquisition unit 11, an image input unit 12, and an image recognition unit 13, wherein:

[0093] An image acquisition unit 11, configured to acquire an image to be detected;

[0094] The image input unit 12 is used to input the image to be detected into the pre-trained road sign recognition model; wherein, the road sign recognition model is trained based on a sample image set, an...

Embodiment 3

[0105] see Figure 7 , the embodiment of the present invention also provides an electronic device 100, including: a processor 40, a memory 41, a bus 42 and a communication interface 43, the processor 40, the communication interface 43 and the memory 41 are connected through the bus 42; Executable modules, such as computer programs, stored in the execution memory 41 .

[0106] Wherein, the memory 41 may include a high-speed random access memory (RAM, Random Access Memory), and may also include a non-volatile memory (non-volatile memory), such as at least one disk memory. The communication connection between the system network element and at least one other network element is realized through at least one communication interface 43 (which may be wired or wireless), and the Internet, wide area network, local network, metropolitan area network, etc. can be used.

[0107] The bus 42 can be an ISA bus, a PCI bus or an EISA bus, etc. The bus can be divided into address bus, data bu...

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PUM

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Abstract

The invention provides a road sign recognition method and device and electronic equipment, and relates to the technical field of image processing. According to the scheme, the method comprises: inputting an obtained to-be-detected image into a pre-trained road sign recognition model, so as to carry out the road sign recognition of the to-be-detected image, wherein the road sign recognition model is obtained by training based on a sample image set (the sample image set contains a sample image with an interference item), so that the road sign recognition model can effectively eliminate the interference item in the image and learn the road sign in the image foreground. Therefore, when the road sign recognition model is used for recognizing the to-be-detected image, the road sign in the imagecan be effectively recognized under the condition that interference items exist, and the accuracy of road sign detection is improved.

Description

technical field [0001] The invention relates to the technical field of image processing, in particular to a road sign recognition method, device and electronic equipment. Background technique [0002] With the continuous development of the field of intelligent transportation, there are more and more researches on the detection and recognition of road signs. At present, in the detection and recognition of road signs, some fixed image features are generally selected from the captured images, such as the color features and shape features of road signs, to analyze road signs. However, in actual traffic application scenarios, the image acquisition process may be affected by factors such as motion blur, background interference, weather conditions, and shooting angles. This method cannot effectively identify the road signs in the image, which affects the accuracy of road sign detection. Contents of the invention [0003] In view of this, the purpose of the present invention is ...

Claims

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Application Information

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IPC IPC(8): G06K9/00
CPCG06V20/588
Inventor 单冠达
Owner SHENYANG MXNAVI CO LTD
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