Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Adaptive head lighter turning control algorithm based on lane line detection

A lane line detection and steering control technology, applied in vehicle position/route/altitude control, two-dimensional position/navigation control, non-electric variable control, etc. problems, to achieve the effect of ensuring driving safety and eliminating visual "blind spots"

Active Publication Date: 2018-09-25
NANJING UNIV OF INFORMATION SCI & TECH
View PDF5 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because when the car is driving on a curve at night, due to the inability to adjust the axis direction of the headlight, a visual "blind area" often appears on the inside of the curve. This visual "blind area" is caused by the fixed lighting area of ​​the headlight during driving. Yes, the driver's line of sight is restricted within the straight line range of the light beam due to inertia during driving, which will bring huge traffic safety hazards

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
  • Adaptive head lighter turning control algorithm based on lane line detection
  • Adaptive head lighter turning control algorithm based on lane line detection
  • Adaptive head lighter turning control algorithm based on lane line detection

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The present invention will be further described below in conjunction with accompanying drawing.

[0018] Such as figure 1 Shown, the present invention comprises the following steps:

[0019] (1) Image preprocessing: through the determination and division of the region of interest, the calculation amount of the subsequent algorithm is reduced; the contrast of each part of the image is enhanced through linear grayscale processing, and the accuracy of the subsequent detection algorithm is improved; the improved Otsu algorithm is used, Complete image binarization.

[0020] Determination of the area of ​​interest:

[0021] Such as figure 2 As shown, the acquired image is divided into three horizontal areas from top to bottom: the sky area, the far field of view area and the near field of view area. The area height is one-fourth of the image height. Set the far field of view and the near field of view at the bottom of the image as regions of interest. The following ste...

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 adaptive head lighter turning control algorithm based on lane line detection. The algorithm comprises the following steps that (1) an image is preprocessed, regions of interest are determined according to structural characteristics of the image, the image is divided than, and contrast of different regions is improved via linear grayscale transformation, and an improved Otsu's method is used to binarize the image; (2) an improved Hough transformation algorithm is used to detect lane lines; (3) a curve fitting and curvature radius is calculated; and (4) according to the parking stadia and the geometric relation between the curve illumination distance and the curvature radius, a head lighter angle adjusting model is established and solved. A head lighter is rotatedto eliminate a visual blind area in the inner side of a curve during driving at night, and the driving safety in the curve at night is ensured.

Description

technical field [0001] The invention relates to an adaptive headlight steering control algorithm, in particular to an adaptive headlight steering control algorithm based on lane line detection. Background technique [0002] With the sharp increase in the number of vehicles, the number of deaths and injuries caused by traffic accidents is also rising. How to reduce the number of frequent traffic accidents has become an urgent problem to be solved in our country. According to reports, 82% of automobile accidents occur in poor lighting conditions at night; at the same time, the number of major accidents during night driving is about 1.5 times that of daytime, and 60% of accidents occur at corners with poor lighting. Because when the car is driving on a curve at night, due to the inability to adjust the axis direction of the headlight, a visual "blind area" often appears on the inside of the curve. This visual "blind area" is caused by the fixed lighting area of ​​the headlight ...

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): G05D1/02G06K9/00G06K9/32
CPCG05D1/0214G05D1/0221G05D1/0223G05D1/0253G06V20/588G06V10/25
Inventor 张小瑞徐子茜孙伟宋爱国
Owner NANJING UNIV OF INFORMATION SCI & TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com