Method and device for recognizing traffic signs

A technology of traffic signs and categories, applied in the computer field, can solve the problem of reducing the update efficiency of road network data in the collection process, and achieve the effect of improving update efficiency and accuracy

Active Publication Date: 2015-06-10
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
View PDF2 Cites 36 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This process requires the support of a variety of software tools, but the accuracy of the data results mainly depends on the personal ability and concentration of the operators. At the same time, the complex collection process reduces the update efficiency of road network data

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and device for recognizing traffic signs
  • Method and device for recognizing traffic signs
  • Method and device for recognizing traffic signs

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] The 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 related inventions, rather than to limit the invention. It should also be noted that, for the convenience of description, only the parts related to the related invention are shown in the drawings.

[0019] It should be noted that, in the case of no conflict, the embodiments in the present application and the features in the embodiments can be combined with each other. The present application will be described in detail below with reference to the accompanying drawings and embodiments.

[0020] figure 1 An exemplary flowchart of a method for recognizing traffic signs according to an embodiment of the present application is shown.

[0021] Such as figure 1 As shown, the method 100 for identifying traffic signs may include:

[0022] Step 110 , acquiring fea...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a method and device for recognizing traffic signs. According to a detailed implementation mode, the method includes the steps that feature values, obtained through a preset feature algorithm, of scanned window images obtained through panorama spherical image division at a preset integral channel are obtained; according to the feature values of the scanned window images and a pre-trained detection classifier model, the scanned window images are detected to obtain traffic sign window images to be confirmed, wherein the pre-trained detection classifier model is obtained according to samples of the scanned window images and the feature values of the scanned window images through training; according to a pre-trained convolution neural network mode, the traffic sign window images to be confirmed are recognized, so that the categories of the traffic signs are obtained, wherein the pre-trained convolution neural network model is obtained through training according to samples of the determined traffic sign window images and the categories of the traffic signs. The accuracy of detecting and recognizing the traffic signs in panorama images is improved, and meanwhile the efficiency of updating road network data is improved.

Description

technical field [0001] The present application relates to the field of computer technology, in particular to the field of computer target recognition technology, especially to a method and device for recognizing traffic signs. Background technique [0002] In order to provide accurate and comprehensive navigation data, it is necessary to recognize traffic signs in the traffic road network. [0003] The traditional method of identifying traffic signs mainly relies on manual processing. Specific program software and base map data are deployed on the collection vehicle in advance, and trained field personnel work with the vehicle: after observing the traffic sign, the operator will The type and visual distance are manually entered into the software; after the field collection is completed, the office staff will compare the base maps before and after the operation, and update the effective information to the road network database. This process requires the support of a variety ...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/66
CPCG06F18/00G06T2207/20084G06T2207/20021G06V20/582G06T7/33G06F18/24
Inventor 郝志会王宁葛雷鸣
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap