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

Lane line detection method

A lane line detection and lane line technology, applied in the direction of instruments, character and pattern recognition, computer parts, etc., can solve the problems of being easily interfered by environmental noise, unable to work stably for a long time, and high computational complexity, to reduce interference, Reduce image processing area, good robustness

Active Publication Date: 2020-07-24
WUHAN UNIV OF TECH
View PDF9 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Most of the existing lane line detection algorithms are based on the Hough line detection algorithm, but this method can only be used for line detection and has a small scope of application.
However, the detection algorithm for curves has high computational complexity, poor real-time performance, and is easily disturbed by environmental noise, so it cannot work stably for a long time in complex road environments.

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
  • Lane line detection method
  • Lane line detection method
  • Lane line detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0049]In order to further understand the content, features and effects of the present invention, the implementation method and principle of the present invention will be further described below in conjunction with examples and accompanying drawings.

[0050] According to the lane detection method implemented in the present invention, such as figure 1 As shown, it includes the following steps:

[0051] Step 1, using the vehicle-mounted camera to acquire road images;

[0052] Step 2, image preprocessing is carried out to the image that step 1 acquires: first intercept the lower half area of ​​road image (the road image is divided into two from the middle, and the lower half is the ROI area, such as Figure 11 Shown in (a) and (b)) as the initial region of interest (Region of Interest, ROI), and then perform grayscale processing, color space transformation, gradient threshold filtering, and color space threshold filtering on the region, and finally obtain multi-thresholding Fil...

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 a lane line detection method, and belongs to the intelligent automobile technology. Road images are obtained by installing a vehicle-mounted camera on a vehicle, and then the road images are processed in real time so as to recognize lane lines on the left side and the right side in front of the vehicle. The lane line detection method provided by the invention has the following advantages: 1, the robustness is good, the influence of interference pixels such as pavement colors and shadows on lane line detection can be reduced, and the accuracy is high; and 2, a lane linetracking algorithm is added, so that the interference of environmental factors is reduced, the image processing area is reduced, and the real-time performance of the algorithm is improved.

Description

technical field [0001] The invention relates to intelligent automobile technology, in particular to an automobile lane line detection method. Background technique [0002] With the increasing popularity of automobiles, problems such as frequent road traffic accidents and aggravated traffic congestion have become increasingly prominent. Through a large amount of data analysis, 93.12% of traffic accidents are caused by the driver's improper operation causing the vehicle to deviate from the target lane. Therefore, how to enhance the safety of automobile driving has gradually become the focus of scientific researchers. More and more scholars have begun to conduct in-depth research on intelligent driving technologies, such as lane keeping systems and lane departure warning systems. Accurate recognition of lane lines is the basis for realizing these intelligent driving technologies. [0003] Most of the existing lane line detection algorithms are based on the Hough line detectio...

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): G06K9/00G06K9/46G06K9/32
CPCG06V20/588G06V10/25G06V10/56
Inventor 邹斌郑全慧王亚萌
Owner WUHAN UNIV OF 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