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

Lane recognition system and method and autonomous car

A lane recognition and lane technology, applied in the field of automatic driving, can solve problems such as dangerous accidents, poor recognition effect, and smart cars that cannot drive automatically

Active Publication Date: 2019-11-08
行道科技阳泉有限公司
View PDF7 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, the actual road conditions are complex and diverse, and the use of lane line features to identify lanes is prone to environmental interference, such as weather, shadows, etc., resulting in poor recognition results
When the lane position information cannot be accurately detected, the smart car may not be able to drive automatically, and more seriously, it may lead to dangerous accidents

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 recognition system and method and autonomous car
  • Lane recognition system and method and autonomous car
  • Lane recognition system and method and autonomous car

Examples

Experimental program
Comparison scheme
Effect test

Embodiment approach

[0083] According to an embodiment of the present disclosure, one of the implementation manners is: first obtain the light intensity information of the area where the vehicle is driving, and then determine the road edge features obtained by processing the image information and the road edge features obtained by processing the image information according to the light intensity information. The weight ratio of the road edge features obtained from the above radar information.

[0084] In this embodiment, since the camera is easily affected by the light intensity when collecting image information, when the light intensity is too low, it means that the light in the environment is dark, and the camera cannot obtain a clear image; and when the light intensity is too high, the exposure of the image A higher degree may lead to inaccurate lane recognition results. The radar is not greatly affected by the intensity of light. When the weather is good, the detection accuracy of the radar is...

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 embodiment of the invention discloses a lane recognition system and method and an autonomous car. The lane recognition system comprises at least one camera, at least one radar, a data processing unit and a lane recognition unit. The lane recognition unit is connected with the data processing unit and is used for confirming the weight proportion of the road edge features obtained by processingimage information to the road edge features obtained by processing radar information, and the lane position is recognized according to the weight proportion, the road edge features obtained by processing the image information, the road edge features obtained by processing the radar information and lane line features. According to the technical scheme, data fusion of camera and radar equipment on lane recognition is achieved, and therefore the system can handle with complex road conditions and environment interference better, dangerous accidents are avoided, and driving safety is improved.

Description

technical field [0001] The present disclosure relates to the technical field of automatic driving, in particular to a lane recognition system and method and an automatic driving vehicle. Background technique [0002] With the development of automobile intelligent technology, smart cars can realize automatic driving. In order to be able to accurately drive according to the navigation path, the smart car obtains the lane position information according to the installed camera or radar equipment. [0003] In the process of proposing the present disclosure, the inventors found that the lane position recognition in the prior art adopts the lane line detection method based on road features, which utilizes the physical feature difference between the lane line and the road environment for subsequent image segmentation and processing , so as to highlight the characteristics of the lane line to realize the recognition of the lane position. However, the actual road conditions are comp...

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): B60W30/095B60W40/06B60W40/00
CPCB60W30/095B60W40/00B60W40/06
Inventor 路兆铭王鲁晗周婧蓉傅彬王刚
Owner 行道科技阳泉有限公司
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

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