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

ASM-based lane line detection method

A technology for lane line detection and images to be detected, which is applied to instruments, character and pattern recognition, computer components, etc., can solve the problem of not meeting the real-time performance of automobile auxiliary safety driving system, and unable to quickly and accurately realize lane line recognition and tracking and other issues to achieve the effects of improving speed and effectiveness, accurate detection and tracking, and improving speed and robustness

Inactive Publication Date: 2015-10-07
CHANGAN UNIV
View PDF3 Cites 3 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above-mentioned methods all have certain limitations. They cannot quickly and accurately realize the recognition and tracking of lane lines, and cannot meet the real-time requirements of the vehicle auxiliary safety driving system on the expressway.

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
  • ASM-based lane line detection method
  • ASM-based lane line detection method
  • ASM-based lane line detection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0029] Such as figure 1 and 2 As shown, a kind of lane line detection method based on ASM of the present invention, specifically carries out according to the following steps:

[0030] 1. Sample calibration

[0031] Sample calibration is to calibrate the feature points of each sample in the sample set. The feature point set is required to describe the shape of the object as accurately as possible. The basis for selecting feature points is: points with special application significance on the target contour or points with certain geometric characteristics, such as connection points of line segments, extreme points of angle and curvature.

[0032] The calibration work is done manually and the number, order and corresponding position of the selected feature points on each shape must be the same. Let for each sample X i Taking n feature points, the sample can be expressed as a 2n-dimensional coordinate vector:

[0033] x i =(x i1 ,x i2 ,...x in ,y i1 ,y i2 ,...y in ) T...

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 ASM-based lane line detection method, which comprises the steps of separating regions of interest from an acquired image ahead of a vehicle; pre-processing the image, including graying the image after the separation of the regions of interest, then carrying out median filtering by using a 3x3 sliding window, retaining the details and removing interference noises; calibrating feature points on two lane lines in the pre-processed image and establishing a training set formed by a feature point distribution model; carrying out normalization processing for the training set established in the third step and obtaining an aligned shape; capturing statistical information of the aligned shape through principal component analysis calculation, and establishing an ASM model; and acquiring to-be-detected images ahead of the vehicle in real time, separating regions of interest from the acquired to-be-detected images ahead of the vehicle and pre-processing the images according to the first and second steps, finally searching for information matching the ASM model from the pre-processed to-be-detected images ahead of the vehicle acquired in real time by using the established ASM model, and finishing the lane line detection.

Description

Technical field: [0001] The invention relates to a lane line segmentation and detection method, in particular to a lane line detection method based on ASM (Active Shape Models, active shape model). Background technique: [0002] Lane line detection and tracking is one of the important tasks in the highway assisted safety driving system, and it is the premise and basis for realizing lane keeping assistance, lane departure warning, and collision warning. [0003] At present, the lane detection technology based on image processing can be divided into two categories: feature-based and model-based. The former mainly uses the texture, edge, color and other features of the road to detect lane lines. The method is susceptible to lighting conditions, lane curvature, occlusion, water accumulation, and pavement damage. The latter is to establish the parameter model of the road first, then analyze the image to determine the model parameters, and finally obtain the complete lane line. ...

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): G06K9/00
CPCG06V20/588
Inventor 张绍阳王卫星田昊侯旭阳
Owner CHANGAN UNIV
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