Image-based vehicle anti-collision early warning method

A vehicle and image technology, applied in collision avoidance systems, vehicle components, vehicle safety arrangements, etc., can solve problems such as narrow use surface, inability to apply to undulating roads, and incompetence.

Active Publication Date: 2012-08-22
HONG KONG PRODUCTIVITY COUNCIL
View PDF7 Cites 56 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

As far as the distance measurement of the license plate is concerned, the application area is too narrow to measure the distance of medium and long-distance vehicles, and it cannot be competent in the case of blurred images such as light rain
The distance measurement under the vehicle is mainly aimed at horizontal road surfaces, and cannot be applied to uphill and other undulating road surfaces.

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
  • Image-based vehicle anti-collision early warning method
  • Image-based vehicle anti-collision early warning method
  • Image-based vehicle anti-collision early warning method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0051] The method of the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments of the present invention.

[0052] Step 1: Preparation stage, including the following steps:

[0053] First, determine the relationship between vehicle width and vehicle distance, such as figure 2 shown.

[0054] It is assumed that there is a calibration target 3 in front of the vehicle 1, so that the imaging of the calibration target in the image through the visual sensor 4 just occupies the full width. At this time, the relationship with the imaging result 5 of the actual target vehicle 2 is as follows:

[0055] Wcar Wb = W Aw ,

[0056] Among them: Wcar is the actual width of the target vehicle, in millimeters (mm); Aw is the horizontal resolution of the image, in pixels; Wb is the actual width of the calibration target, in mm; ...

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 invention discloses an image-based vehicle anti-collision early warning method. An image sensor is utilized for collecting the images of a rod ahead; after a vehicle is detected successfully and tracked, according to the vehicle width variation in interframe images and combining with the influences of the relative vehicle speed and relative acceleration, the time to collision (TTC) of a target vehicle and the vehicle is calculated, the dangerous level is analyzed, and an alarm is given to a driver, and meanwhile, the relative driving state of the target vehicle and the current vehicle also can be determined. The method provided by the invention is applied to the technical field of vehicle active safety, can effective prevent rear-end collision with the vehicle ahead, also is not influenced by rugged topography, and has high safety performance.

Description

technical field [0001] The invention relates to automatic safe driving technology of automobiles, in particular to a method for realizing vehicle collision avoidance warning by calculating the collision time of the vehicle itself and judging the relative state of the target vehicle by using the image analysis technology. Background technique [0002] With the rapid growth of car ownership, road traffic safety has become an important issue of concern to governments and societies in various countries. While automobiles bring convenience to people, the following problems are also obvious, that is, with the increase in the number of vehicles, traffic accidents occur frequently, resulting in an astonishing number of casualties and property losses. The analysis of road traffic accidents shows that more than 80% of traffic accidents are caused by the driver's lack of reaction, more than 65% of vehicle collisions are rear-end collisions, and the rest are side collisions. According ...

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
Patent Type & Authority Applications(China)
IPC IPC(8): B60R21/013G08G1/16
Inventor 赵春霞任明武张浩峰王超李旻先潘志健李永智王执中陈国保李莉
Owner HONG KONG PRODUCTIVITY COUNCIL
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