Road traffic sign detection and identification method

A technology for traffic signs and regions of interest, which is applied in the field of road traffic sign detection and recognition based on deep learning, and can solve problems such as the decline in the accuracy of road traffic sign detection

Inactive Publication Date: 2017-02-01
NINGBO ONSIGHT CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This kind of independent module design accumulates errors, which reduces the detection accuracy of road traffic signs

Method used

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  • Road traffic sign detection and identification method
  • Road traffic sign detection and identification method
  • Road traffic sign detection and identification method

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Embodiment Construction

[0021] The inventive concepts of the present disclosure are described below using terms commonly used by those skilled in the art to convey the substance of their work to others skilled in the art. These inventive concepts may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of inclusion to those skilled in the art. It should also be noted that these embodiments are not mutually exclusive. Components, steps or elements from one embodiment may be assumed to be present or used in another embodiment. Various alternative and / or equivalent implementations may be substituted for the specific embodiments shown and described without departing from the scope of the embodiments of the present disclosure. This application is intended to cover any adaptations or variations of the embodiments...

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Abstract

An embodiment of the invention relates to a deep learning-based road traffic sign detection and identification method. The method comprises the steps of calculating convolutional features of a plurality of layers for training set data by utilizing a convolutional neural network; training a region-of-interest suggestion network by utilizing the convolutional features; and training a classification layer and a regression layer of an output layer by utilizing a random gradient descent method based on the convolutional features and candidate boxes obtained by the trained region-of-interest suggestion network.

Description

technical field [0001] The disclosure belongs to the fields of image processing and automatic driving, and in particular relates to a method for detecting and recognizing road traffic signs based on deep learning. Background technique [0002] In today's society, vehicles have become the preferred tool for people to travel, which greatly facilitates people's travel. However, frequent traffic accidents have become an important factor threatening people's lives. According to statistics, in all traffic accidents, accidents caused by people's subjective reasons account for a large proportion. Such as drunk driving, speeding, running a red light, changing lanes at will, and a series of non-compliance with traffic regulations. How to alleviate or even eliminate the problem of frequent traffic accidents, advanced driver assistance systems and unmanned driving came into being. Obtain the environmental information around the vehicle through on-board equipment such as cameras, lida...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62
CPCG06V20/582G06F18/285
Inventor 朱少岚
Owner NINGBO ONSIGHT CO LTD
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