Unlock instant, AI-driven research and patent intelligence for your innovation.

Method and system for intelligent vehicle lane recognition based on mask matrix

A lane recognition and intelligent recognition technology, applied in the field of image recognition, can solve the problem of low accuracy and achieve the effect of accurate driving lane

Active Publication Date: 2022-07-26
成都旸谷信息技术有限公司
View PDF22 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the vehicle lane recognition can only be recognized simply through image comparison, etc., and the accuracy rate is low. Therefore, it is necessary to improve the existing vehicle lane recognition methods

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
  • Method and system for intelligent vehicle lane recognition based on mask matrix
  • Method and system for intelligent vehicle lane recognition based on mask matrix
  • Method and system for intelligent vehicle lane recognition based on mask matrix

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0017] The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, but not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0018] see figure 1 , the method for intelligently identifying the driving lane of the vehicle based on the mask matrix according to the embodiment of the present invention includes the following steps:

[0019] S1: Collect video images of the monitoring area, and the monitoring area includes each lane of the road.

[0020] Wherein, the collection method of the video image may be directly collected through a camera, or may be received video image...

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 method and system for intelligently recognizing the driving lane of a vehicle based on a mask matrix. The method recognizes a vehicle in a video image and generates a vehicle pixel mask matrix of the vehicle, and recognizes a lane in the video image and generates a lane of the lane. The pixel mask matrix, and the elements of the multiplication result are accumulated item by item, and the lane corresponding to the pixel mask matrix of the lane with the largest accumulated value is the driving lane of the vehicle. The application of the present invention can accurately identify the driving lane of the vehicle.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a method and system for intelligently recognizing a driving lane of a vehicle based on a mask matrix. Background technique [0002] Traffic flow refers to the number of vehicles passing through a certain lane of the road within a selected time period. The traffic congestion can be determined from the size of the traffic flow, thereby deciding which traffic management measures to take. Therefore, the accurate detection of traffic flow is very important in traffic engineering. occupies a very important position. The premise of traffic flow monitoring is to accurately identify which lane the vehicle is driving on. [0003] At present, the vehicle's driving lane recognition can only be recognized simply by means of image comparison, and the accuracy is low. Therefore, it is necessary to improve the existing vehicle's driving lane recognition method. SUMMARY OF THE INVENT...

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): G06V20/58
CPCG06V20/588G06V20/584
Inventor 张峻领鲍朝莉董辉相峥
Owner 成都旸谷信息技术有限公司