Check patentability & draft patents in minutes with Patsnap Eureka AI!

Vehicle deviation alarm method based on lane line gradient image adaptive threshold segmentation

An adaptive threshold and threshold segmentation technology, applied in image analysis, image enhancement, image data processing, etc., can solve problems such as interference, difficulty in adapting to changes in road lighting conditions, and difficulty in solving object shadows on lane lines. The method is simple and effective. Avoid calculation loss and avoid the effect of complex calculation methods

Active Publication Date: 2019-10-01
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
View PDF9 Cites 14 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides a vehicle departure warning method based on adaptive threshold segmentation of lane line gradient images, which solves the problems that existing lane line detection algorithms are difficult to solve object shadow interference and adapt to changes in road lighting conditions

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
  • Vehicle deviation alarm method based on lane line gradient image adaptive threshold segmentation
  • Vehicle deviation alarm method based on lane line gradient image adaptive threshold segmentation
  • Vehicle deviation alarm method based on lane line gradient image adaptive threshold segmentation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0063] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0064] A vehicle departure warning system based on lane line gradient image threshold segmentation technology, its implementation is mainly divided into two parts: 1) detection of left and right lane lines of driving vehicles; 2) calculation and alarm of vehicle deviation distance.

[0065] (1) Detection of left and right lane lines of driving vehicles

[0066] Among them, the detection of the left and right lane lines of the driving vehicle can be divided into 8 steps:

[0067] Step 1: Use the camera to collect the original image of the road ahead of the vehicle to generate a continuous video stream.

[0068] Step 2: Extract the near area of ​​the lane line of the road video image as the area of ​​interest for lane line detection I ROI . The row of pixels in the video capture image that just excludes the head of the vehicle is taken as the...

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 relates to a vehicle deviation alarm method based on lane line gradient image adaptive threshold segmentation. The vehicle deviation alarm method comprises the steps: collecting an original image of a road condition in front of a vehicle; extracting a lane line near scenic area of the road video image as a lane line detection region of interest; converting into a grayscale image; carrying out Gaussian filtering, and carrying out convolution operation by using a first-order Sobel gradient operator in the horizontal direction; carrying out non-maximum suppression; extracting gradient pixels in the region of interest by using a flooding filling algorithm; solving a self-adaptive optimal threshold value as a segmentation threshold value by applying a maximum between-cluster variance method; carrying out probability Hough transform, and extracting lane lines; and tracking the extracted lane line. According to the vehicle deviation alarm method, the near scenic area of the fixed video image is used as the region of interest for lane line detection, and the calculation amount loss caused by real-time determination of the image vanishing point and calculation of the dynamic region of interest is avoided, and the selection of the near scenic area can ensure that the lane line in the near scenic area meets the linear model, and the difficulty of lane line detection at a curve is avoided.

Description

technical field [0001] The invention relates to the technical field of pattern recognition and automation, in particular to a vehicle departure warning method based on adaptive threshold segmentation of lane line gradient images. Background technique [0002] In the field of intelligent vehicle research, lane line detection and recognition is a key technology for vehicle auxiliary safety driving systems such as lane departure warning, prevention and lane keeping. The premise of lane departure alarm is to quickly and accurately detect and track lane lines to correctly divide the effective driving area of ​​the vehicle. When the vehicle deviates from this effective driving area, it can provide timely alarm prompts to ensure driving safety to the greatest extent. Prepare for the distance and speed of the vehicle in front to cooperate with the work of the anti-collision driving system. [0003] In the current technology research based on the detection and recognition of lanes a...

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): G06K9/00B60Q9/00
CPCG06T7/136G06T7/13B60Q9/00G06T2207/10016G06T2207/20104G06T2207/30256G06V20/40G06V20/588
Inventor 华春生马立永何玉庆
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More

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

© 2025 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com