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Speed limit signboard recognition method combining machine learning and computer vision

A technology of speed limit signs and computer vision, applied in machine learning, computer parts, character and pattern recognition, etc., can solve the problems of high hardware system construction cost, complex template database establishment, and reduced recognition speed, etc., to achieve simplification Effects of system structure, hardware cost reduction, and consumption reduction

Pending Publication Date: 2019-10-15
WUHAN JIMU INTELLIGENT TECH CO LTD
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Problems solved by technology

The obvious disadvantage of this patent is that (1) the construction cost of the hardware system is high, and pinhole cameras need to be installed in the three positions of the front glass frame, the engine front cover and the rearview mirror cover respectively; (2) during the algorithm tra

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  • Speed limit signboard recognition method combining machine learning and computer vision
  • Speed limit signboard recognition method combining machine learning and computer vision
  • Speed limit signboard recognition method combining machine learning and computer vision

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[0034] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, but not to limit the present invention.

[0035] Such as figure 1 As shown, the embodiment of the present invention provides a speed limit sign recognition algorithm based on a vehicle-mounted camera combined with machine learning and computer vision. The specific algorithm includes the following steps:

[0036] S1. Obtain the video image of the road condition of the car through the on-board camera, and upload the image to the GPU (graphics processing unit);

[0037] S2. In the GPU, use the machine learning target object detection method to detect the speed limit signs, so as to obtain the coordinate positioning of the signs in the image; ...

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Abstract

The invention discloses a speed limit signboard recognition method combining machine learning and computer vision. The speed limit signboard recognition method comprises the steps: S1, acquiring a road condition video image of automobile driving through a vehicle-mounted camera; S2, detecting the speed-limiting signboard by using a target object detection method of machine learning; S3, carrying out circle detection on the image of the speed limiting signboard at the positioning position by utilizing a Hough transform method of machine vision; S4, eliminating the influence of different weatherfactors and light intensity on the brightness based on the judgment of the histogram of the circular picture, and generating a binary image in the region of the circular picture; S5, independently segmenting characters in the binarized image of the circular signboard; S6, identifying the segmented numbers through a template matching method; and S7, comparing the identified numerical value resultsso as to judge whether the identified numerical value results are speed-limiting signboards or not, and outputting an identification result. The recognition function of the speed-limiting traffic sign board is provided for a driver only through the vehicle-mounted camera and the GPU.

Description

technical field [0001] The invention relates to the technical field of driving assistance, in particular to a speed limit sign recognition method combining machine learning and computer vision. Background technique [0002] As artificial intelligence technology is continuously promoted in various fields, ADAS (Advanced Driver Assistance System) technology is also developing rapidly in the field of automobile driving. The car can use various sensors installed on the car to sense the surrounding environment at any time during the driving process, and use the data collected by the sensor to analyze the vehicle condition road section algorithmically, and provide the driver with possible danger information to increase the driving safety of the car. safety. In the technical development of assisted driving, the speed limit plate recognition algorithm can effectively share the driver's mental fatigue. [0003] Through the retrieval of prior art documents, it is found that Chinese ...

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Application Information

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IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/38G06K9/62G06N20/00
CPCG06N20/00G06V20/582G06V10/245G06V10/28G06V10/267G06V10/751
Inventor 王述良许端程建伟
Owner WUHAN JIMU INTELLIGENT TECH CO LTD
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