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

A non-active lane departure warning method and system based on monocular vision

A lane departure warning and monocular vision technology, which is applied in the field of image processing, can solve the problems of not yet collecting data, not finding explanations or reports, and not being able to give early warnings, so as to avoid illegal driving behaviors of vehicles, reduce the probability of accidents, The effect of short inference time

Active Publication Date: 2021-12-14
中科海微(北京)科技有限公司
View PDF14 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] 2. This technology cannot give an estimate of the distance from the center of the lane line offset by the vehicle itself
[0007] 3. This technology cannot distinguish between active lane change and non-active lane deviation based on the state of the vehicle's turn signal, and cannot give an early warning
[0008] To sum up, the existing driving assistance technology cannot well meet people's needs for vehicle driving assistance and early warning during driving. At present, no description or report of a similar technology to the present invention has been found, and no similar technology has been collected at home and abroad. data of

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
  • A non-active lane departure warning method and system based on monocular vision
  • A non-active lane departure warning method and system based on monocular vision
  • A non-active lane departure warning method and system based on monocular vision

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The following is a detailed description of the embodiments of the present invention: this embodiment is implemented on the premise of the technical solution of the present invention, and provides detailed implementation methods and specific operation processes. It should be noted that those skilled in the art can make several modifications and improvements without departing from the concept of the present invention, and these all belong to the protection scope of the present invention.

[0068] An embodiment of the present invention provides a non-active lane departure warning method based on monocular vision. The method acquires the image data of the front view in real time, calculates the lane departure, avoids the occurrence of illegal driving behaviors such as crossing the line, and reduces the Accident probability due to vehicle offset.

[0069] The non-active lane departure warning method based on monocular vision provided in this embodiment, such as Figure 7 sh...

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 present invention provides a non-active lane departure warning method and system based on monocular vision, which acquires images of roads in the direction of vehicle travel in real time based on monocular vision; on the basis of the acquired images, the driving direction is obtained through a lane line extraction algorithm The position of the left and right lane lines and the type of lane lines; according to the obtained lane line position, lane line type and the status of the left and right turn signals of the vehicle, the deviation of the non-active vehicle is judged; according to the deviation of the non-active vehicle, the abnormal Auxiliary early warning for active lane departure. The invention effectively reduces the non-active vehicle deviation behavior during the driving process of the vehicle, and the non-active lane departure behavior is one of the main factors of illegal driving and driving accidents of the vehicle. The occurrence of illegal driving behaviors and reduce the probability of accidents caused by vehicle deviation.

Description

technical field [0001] The present invention relates to the technical field of image processing, in particular to a monocular vision-based non-active lane departure warning method and system. Background technique [0002] Self-driving travel has become a common mode of transportation for people's daily travel, and driving safety during driving has an important impact on people's normal life, and has been paid more and more attention by people. Based on this, the driving assistance system came into being . [0003] After searching found: [0004] The Chinese invention patent application "Lane Line Detection Method for Assisted Driving" with application number 201910008697.X and date of application on January 4, 2019 discloses a lane line detection method for assisted driving. Task convolutional neural network trains image samples, uses the correlation between vehicles and lane lines to assist lane line recognition, improves the detection safety of complex and changeable aut...

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 Patents(China)
IPC IPC(8): B60W50/14B60W30/12
CPCB60W50/14B60W30/12
Inventor 曹玉社许亮李峰
Owner 中科海微(北京)科技有限公司
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