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

Lane marking detection method, device, electronic equipment and storage medium

A lane line detection, lane line technology, applied in the direction of instruments, biological neural network models, calculations, etc., can solve the problems of poor robustness and low accuracy, and achieve reduced interference, improved accuracy and quasi-call rate, and improved Effects of Robustness and Precision

Active Publication Date: 2021-08-24
BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The lane line detection method, device, electronic equipment and storage medium proposed in this application are used to solve the problem of poor robustness and low accuracy in judging the virtual and real lane line types of the lane line detection method in the related art

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 marking detection method, device, electronic equipment and storage medium
  • Lane marking detection method, device, electronic equipment and storage medium
  • Lane marking detection method, device, electronic equipment and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein the same or similar reference numerals designate the same or similar elements throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0018] The embodiments of the present application aim at the lane line detection method in the related art, and propose a lane line detection method for the problem of poor robustness and low accuracy in judging whether the lane line is virtual or not.

[0019] In the lane line detection method provided in the embodiment of the present application, the obtained image to be detected can be input into the preset target detection model to obtain the first detection information and the second detection information of each grid in the image, and each grid ...

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 application proposes a lane marking detection method, device, electronic equipment and storage medium. Wherein, the method includes: inputting the acquired image to be detected into a preset target detection model, obtaining first detection information and second detection information of each grid in the image; Second, the detection information is subjected to non-maximum value suppression processing to obtain the position and category of each lane line boundary point in the image, the position of each lane center point, the corresponding lane width and the lane line category; according to each lane line boundary point in the image The location and category of each lane center point, the lane width corresponding to each lane center point, and the lane line category determine the lane line in the image and the category of each lane line. Therefore, through this lane line detection method, not only the accuracy and accuracy of lane line detection are improved, but also the robustness and accuracy of lane line type detection are improved.

Description

technical field [0001] The present application relates to the field of computer application technology, and in particular to a lane line detection method, device, electronic equipment and storage medium. Background technique [0002] Today, in autonomous driving scenarios, lane lines, as important static semantic information, are of great significance to driving decisions, and the virtual and real category information of lane lines is of great significance to driving decisions. [0003] In related technologies, traditional lane line detection methods mostly use traditional feature extraction methods to extract the visual features of the dashed and solid lines of the lane line, so as to judge whether the lane line is virtual or solid. However, this kind of lane line category detection method based on feature extraction, due to insufficient feature representation, is likely to cause poor robustness in judging the virtual and real lane line categories, and it cannot give the gr...

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): G06K9/00G06N3/04
CPCG06V20/588G06N3/045
Inventor 潘杰
Owner BAIDU ONLINE NETWORK TECH (BEIJIBG) CO LTD
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