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Intelligent traffic guideboard identification method and device

A technology of intelligent traffic and road signs, applied in the field of navigation, can solve the problems affecting the efficiency of high-precision map drawing and the generation of road signs, and achieve the effect of automatic generation, rapid generation and improvement of drawing efficiency.

Pending Publication Date: 2022-04-29
智道网联科技(北京)有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, in related technologies, the images obtained by using the vehicle's camera cannot fully automatically generate the street signs contained in the image, and the process usually requires human intervention, which affects the efficiency of high-precision map drawing

Method used

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  • Intelligent traffic guideboard identification method and device
  • Intelligent traffic guideboard identification method and device

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Embodiment Construction

[0043] Embodiments of the present application will be described in more detail below with reference to the accompanying drawings. Although embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited by the embodiments set forth herein. Rather, these embodiments are provided so that this application will be thorough and complete, and will fully convey the scope of this application to those skilled in the art.

[0044] The terminology used in this application is for the purpose of describing particular embodiments only, and is not intended to limit the application. As used in this application and the appended claims, the singular forms "a", "the", and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It should also be understood that the term "and / or" as used herein refers to and includes any and all possible ...

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PUM

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Abstract

The invention relates to a smart traffic guideboard identification method and device. The method comprises the following steps: acquiring at least two images, wherein each image comprises at least one common guideboard; performing guideboard corner detection on at least one common guideboard in each image by using a preset high-resolution neural network model, and identifying a pixel coordinate position of each guideboard corner corresponding to at least one guideboard in each image; and generating the geographic coordinate position of each guideboard according to the pixel coordinate positions of the guideboard angular points corresponding to each guideboard in the at least two images and the geographic position information of a camera when the at least two images are shot. According to the scheme provided by the invention, the guideboard can be automatically generated, rapid generation of at least one guideboard is realized, and the drawing efficiency of the high-precision map is improved.

Description

technical field [0001] The present application relates to the field of navigation technology, in particular to a method and device for identifying intelligent traffic signs. Background technique [0002] With the development of technologies such as artificial intelligence and autonomous driving, the construction of intelligent transportation has become a research hotspot, and high-precision maps are an indispensable part of the construction of intelligent transportation data. High-precision maps can contain a variety of traffic signs. For example, detailed lane maps can be used to express ground features such as lane lines, stop lines, and pedestrian crossing lines in the real world, as well as high-altitude feature elements such as street signs and traffic lights, so as to support automatic driving. Provide data support for navigation in other application scenarios. [0003] As the information carrier of urban geographical entities, road signs in traffic signs have informa...

Claims

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Application Information

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IPC IPC(8): G06V20/58G06T11/20G06T7/70G06T3/40G06N3/04G06K9/62G06V10/774G06F16/9537G06V10/82
CPCG06T7/70G06T3/4053G06T11/206G06F16/9537G06T2207/20081G06T2207/20084G06N3/045G06F18/214
Inventor 李耀萍贾双成朱磊赵飞翔单国航
Owner 智道网联科技(北京)有限公司
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