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A traffic sign recognition method for unmanned vehicles

A technology for traffic sign recognition and unmanned vehicles, applied in the field of image processing, can solve the problems of low achievements in efficient traffic sign recognition technology, and achieve the effect of high recognition efficiency

Active Publication Date: 2017-04-05
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At present, most of the vision-based traffic sign recognition technologies are aimed at ideal environments, and there are relatively few achievements in efficient traffic sign recognition technologies for complex road environments.

Method used

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  • A traffic sign recognition method for unmanned vehicles
  • A traffic sign recognition method for unmanned vehicles
  • A traffic sign recognition method for unmanned vehicles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] The specific steps of using this method to detect traffic signs are as follows:

[0068] Step 1: Install the gray dot wide-angle camera in front of the vehicle. In this embodiment, the pixels of the image obtained by the vehicle-mounted camera are 2736×2192, the color mode is RGB, and the coordinate system adopted by the panoramic image is a spherical coordinate system. Select the upper part of the center of the image as the area to be recognized according to its installation location, such as figure 2 shown.

[0069] Step 2: Color segmentation, and then adopt filtering, expansion, erosion and other processing methods, and then gradually filter the appropriate contour according to the contour area and other conditions, and finally obtain the contour corresponding to the traffic sign, such as Figure 3 to Figure 4 shown. image 3 middle:

[0070] Top: the original image of the area to be recognized, bottom left: the red channel, bottom right: the blue channel.

[0...

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Abstract

The invention provides a traffic sign recognition method for a driverless car, and belongs to the technical field of image processing. According to the traffic sign recognition method, on the basis of algorithms such as a convex hull algorithm and a Hu invariant moment and transverse and longitudinal histogram scaling fast matching algorithm. Compared with existing traffic sign recognition methods, the traffic sign recognition method for the driverless car has the advantages of being large in recognition range, capable of recognizing a ban sign and an indicative sign, good in real-time performance, high in recognition accuracy and low in mistaken recognition rate.

Description

technical field [0001] The invention belongs to the technical field of image processing, and in particular relates to a traffic sign recognition method for unmanned vehicles. Background technique [0002] With the development of society, cars have become an irreplaceable means of transportation for human daily life. However, it is accompanied by increasingly prominent security problems. Being able to actively recognize traffic signs and make quick reminders or judgments can greatly reduce the occurrence of traffic accidents. [0003] As an important part of the future Intelligent Transportation System (ITS), driverless cars will play an increasingly important role in people's lives. As an important part of the environment perception of unmanned vehicles, the road traffic sign recognition system plays an important role in the intelligent transportation system. With the rapid development of unmanned vehicle technology, its level of intelligence continues to increase. A comp...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62
Inventor 付梦印宋文杰杨毅周培德王震周耿张凯王新宇李星河张叶青
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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