Vehicle collision prevention early warning method based on vision

An anti-collision, vehicle technology, applied in anti-collision systems, traffic control systems for road vehicles, instruments, etc., can solve problems such as high price and interference

Inactive Publication Date: 2016-08-31
LIAONING UNIVERSITY OF TECHNOLOGY
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Radar ranging is similar to the reflection of ultrasonic waves, the only difference is that the frequency of the waves it uses is higher than that of ultrasonic waves, but it is more expensive and susceptible to interference from surrounding radios
The accuracy of vi...

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  • Vehicle collision prevention early warning method based on vision
  • Vehicle collision prevention early warning method based on vision
  • Vehicle collision prevention early warning method based on vision

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Embodiment Construction

[0058] The present invention will be further described in detail below in conjunction with the accompanying drawings, so that those skilled in the art can implement it with reference to the description.

[0059] Such as figure 1 As shown, the present invention provides a kind of vehicle anti-collision early warning method based on vision, the present invention adopts vehicle detection and ranging algorithm, constructs a vehicle anti-collision early warning system based on vision under Opencv / Vc++6.0 environment to carry out safety Early warning, including the following steps:

[0060] Collect the front image to judge whether there is a target vehicle in the lane area;

[0061] If there is a target vehicle in the lane area, draw up a coordinate system through the camera and any point in the front image, calculate the distance between the arbitrary point and the camera, and then transform the coordinate system to place the arbitrary point in the camera coordinate system The co...

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Abstract

The invention discloses a vehicle collision prevention early warning method based on vision. The method comprises steps that two determination conditions including a lane line length and a gradient are added to a detection lane line to carry out Hough transform, and a lane line of a self vehicle is extracted; at a detection target vehicle portion, in combination with a normal distribution function, an OTSU method is employed to combine an improved method of a genetic algorithm (GA) to separate a target and the background; at a distance measurement portion, a method combining geometric relation projection with camera calibration is employed, danger determination is carried out according to a relative distance, and collision prevention early warning is realized. According to the method, the distance between the self vehicle and a front vehicle can be more accurately estimated, a driver is prompted through alarming to adopt measures for processing, and road traffic accidents can be greatly reduced.

Description

technical field [0001] The invention relates to the active safety of an intelligent traffic system, in particular to a vision-based vehicle anti-collision warning method. Background technique [0002] Intelligent vehicle active safety is a system widely used in road traffic coordination. It can not only reduce road accident fatalities, improve traffic efficiency, but also play a role in environmental protection. The anti-collision warning system is its key technology. Through the organic combination of digital image processing, communication, control and other related technologies, it will present a more harmonious road planning, and then achieve the goal of safety, intelligence and environmental protection. [0003] According to a research report, if the driver is notified 0.5 seconds in advance, 50% of accidents can be avoided; if the driver is notified 1 second in advance, 90% of accidents can be avoided. Therefore, in the intelligent vehicle technology, the anti-collisi...

Claims

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Application Information

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IPC IPC(8): G06K9/00G08G1/16
CPCG08G1/166G06V20/584
Inventor 霍春宝曹景胜洪浩门光文
Owner LIAONING UNIVERSITY OF TECHNOLOGY
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