Road sign identification method, system and device

A recognition method and road sign technology, applied in the field of traffic driving, can solve problems such as acceleration driving fatigue, increase the pressure of driver observation and judgment, and achieve the effect of improving driving safety, reliable design principles, and wide application prospects

Inactive Publication Date: 2020-06-09
SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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Problems solved by technology

However, simply relying on the driver to observe all kinds of traffic signs while driving and make correct responses will greatly increase the driver's observation and judgment pressure and accelerate driving fatigue.

Method used

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  • Road sign identification method, system and device
  • Road sign identification method, system and device
  • Road sign identification method, system and device

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[0051] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described The embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0052] Key terms appearing in the present invention are explained below.

[0053] CNN model, Convolutional Neural Networks (hereinafter referred to as CNN) is one of the most successful DNN special cases, widely used in image recognition.

[0054] ELM model, extreme learning machine (Extreme Learning Machine, ELM) is a new type of fast...

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Abstract

The invention provides a road sign recognition method, system and device, and the method comprises the steps: collecting pictures of a road sign in different environments, and storing the pictures ina data set; utilizing the data set to create a convolutional neural network model; utilizing the convolutional neural network model to extract feature vectors of road sign pictures in a data set, andstoring the extracted feature vectors into a feature vector set; training a top-speed learning machine model by utilizing the feature vector set; and using the convolutional neural network model and the extreme learning machine model as a combined model to identify a road sign picture to be identified. According to the invention, the road signs in various visual field environments can be accurately recognized, the recognition result is broadcasted through voice, the driving safety is improved, and meanwhile, technical support is provided for unmanned driving.

Description

technical field [0001] The invention relates to the technical field of traffic driving, in particular to a road sign recognition method, system, terminal and storage medium. Background technique [0002] Road traffic signs have rich road traffic-related information, which can provide drivers with reminders, instructions and other auxiliary driving functions at all times, while reducing the driver's driving pressure and road traffic pressure to a certain extent. Reduced the probability of traffic accidents. However, simply relying on the driver to observe all kinds of traffic signs while driving and make correct responses will greatly increase the driver's observation and judgment pressure and accelerate driving fatigue. Therefore, more automatic and intelligent recognition of road traffic sign images is more and more favored by car driving research, and research in this field is also an important technology for the development of autonomous driving. Contents of the invent...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06N3/04G06N3/08
CPCG06N3/08G06V20/582G06N3/045
Inventor 李鹏胡汉顶
Owner SUZHOU LANGCHAO INTELLIGENT TECH CO LTD
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