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Speed estimator based on machine vision, vehicle and estimation method

A machine vision and estimator technology, applied in vehicle parts, color TV parts, TV system parts, etc., can solve problems such as difficulty in vehicle speed estimation and inaccurate estimation

Pending Publication Date: 2018-07-24
JILIN UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] The present invention provides a machine vision-based vehicle speed estimator, vehicle and estimation method to solve the existing problems such as difficult or inaccurate estimation of vehicle speed. In combination with the accompanying drawings, the technical solution of the present invention is as follows:

Method used

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  • Speed estimator based on machine vision, vehicle and estimation method
  • Speed estimator based on machine vision, vehicle and estimation method
  • Speed estimator based on machine vision, vehicle and estimation method

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specific Embodiment approach

[0078] In order to further illustrate the technical solution of the present invention and the technical effects brought by it, in conjunction with the accompanying drawings, the specific implementation of the present invention is as follows:

[0079] The present invention provides a vehicle speed estimator based on machine vision, such as figure 1 As shown, the vehicle speed estimator is composed of a prism, a camera, a laser transmitter, a drive module, a vehicle speed estimation module and a communication module; each component of the vehicle speed estimator is embedded in the rear view mirror of the vehicle; the camera, laser The transmitter, drive module, vehicle speed estimation module and communication module are all integrated and arranged on a PCB printed circuit board. On the one hand, the light source is deflected by the prism and then enters the camera to lengthen the focal length of the camera, so that the camera can collect road surface information in more detail;...

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Abstract

The invention provides a speed estimator based on machine vision, a vehicle and an estimation method. The speed estimator is embedded in a rearview of the vehicle, wherein the speed estimator is composed of a prism, a camera, a laser transmitter, a driving module, a speed estimation module and a communication module; the laser transmitter emits light source to irradiate to the prism, on the one hand, the laser source enters the camera after the refraction of the prism, on the other hand, the laser source irradiates to the ground through the prism, the ground image information arrives the camera after the refraction of the prism; the driving module is in signal connection with each of the laser transmitter and the camera, the shooting frequency of the camera is same as the transmitting frequency of the laser transmitter, and the camera is in signal connection with the speed estimator; the speed estimation module realizes signal communication with the vehicle ECU through the communication module; and the speed estimation method is composed of three parts of image collection, image processing and speed information computation. Through the speed estimator provided by the invention, theproblem that the existing speed is difficult to estimate or inaccurate to estimate can be effectively solved.

Description

technical field [0001] The invention belongs to the technical field of automobile assisted driving, and relates to a vehicle speed estimator based on machine vision, a vehicle and an estimating method, which are suitable for self-driving cars or mid-to-high-end passenger vehicles equipped with advanced driving assistance systems. Background technique [0002] With the progress of the automobile industry, automobiles have become affordable consumer goods for ordinary families. The number of vehicles is increasing continuously. On the one hand, it has caused a serious burden on traffic and the environment. On the other hand, traffic accidents have seriously threatened people. safety of life and property. According to the survey, at present, more than 90% of traffic accidents are caused by human error or negligence. In order to reduce traffic accidents caused by human factors, researchers from various countries have vigorously researched and developed advanced driver assistance...

Claims

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Application Information

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IPC IPC(8): H04N5/225H04N5/232H04N5/235H04L12/40G06T7/246G06T7/44B60R1/00B60R1/02B60R16/023B60W30/12B60W40/105
CPCH04L12/40G06T7/248G06T7/44B60W30/12B60W40/105B60R1/00B60R1/02B60R16/023B60R2300/802B60R2300/804H04L2012/40273G06T2207/30252H04N23/50H04N23/57H04N23/55H04N23/80H04N23/71H04N23/74
Inventor 李静冯酉南户亚威石求军刘鹏
Owner JILIN UNIV
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