Vehicle anti-collision early warning method and apparatus based on machine vision

A technology of machine vision and automobiles, which is applied in the direction of measuring devices, instruments, electromagnetic wave reradiation, etc., can solve the problems of inaccurate distance measurement, high false alarm rate, and non-adaptiveness, etc., and achieve good real-time performance and measurement high precision effect

Inactive Publication Date: 2008-03-05
SHANGHAI ZHONGKE SHENJIANG ELECTRIC VEHICLE
View PDF1 Cites 102 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As described in the patent CN2209624Y all-weather vehicle front and rear warning device, ultrasonic waves are used to judge the distance between vehicles, but ultrasoni

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Vehicle anti-collision early warning method and apparatus based on machine vision
  • Vehicle anti-collision early warning method and apparatus based on machine vision
  • Vehicle anti-collision early warning method and apparatus based on machine vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0057] Preferred embodiments of the present invention are described in detail below.

[0058] As shown in Figure 3, the present invention provides a kind of automobile anti-collision warning method based on machine vision, described method is carried out according to the following steps:

[0059] A. Collect the image information of the driving area in front of the vehicle. The image can be obtained by a CCD camera. The CCD camera can be installed in front of the vehicle, as shown in Figure 1, and the image information of the driving area in front of the vehicle includes The image information of the vehicle in front, and the boundary line information of the front lane, etc.;

[0060] B. Processing the obtained image information, and obtaining binarized image data;

[0061] C. Extract the license plate feature information of the vehicle in front from the binarized image data. This step can use a statistical pattern recognition method to extract the license plate feature informa...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The method comprises: using a machine vision method to collecting the feature information about the vehicle license and the traffic lane information. According to the size and amount of image pixels projected on the machine vision, calculating the distance to the frontal vehicle; combining the information about the speed and direction of the current vehicle, deciding if the current car is driven in the safe traffic lane range.

Description

technical field [0001] The invention relates to the technical field of automobile safety, in particular to a method and device for preventing collision of automobiles based on machine vision. Background technique [0002] With the increasing number of vehicles in road traffic, the number of road traffic casualties has been on the rise in recent years. The anti-collision warning system is a hot spot in the research of the current car safety assisted driving system. It is generally divided into two systems: longitudinal collision and lateral lane departure prevention. The core problem of its research is the real-time measurement of the distance between the vehicle Measurement calculation relative to the position of the lane boundary line. Most of the current research is to use radar, laser and machine vision methods for detection. As described in patent CN1745316A, the vehicle distance measurement is carried out by using radar. According to the patent CN2209624Y all-weather...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G01C11/36G01S17/93
Inventor 徐扬生徐国卿朱波邓雷吴炎喜罗全健
Owner SHANGHAI ZHONGKE SHENJIANG ELECTRIC VEHICLE
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap