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

Road marking extraction method based on forward camera in automatic driving

A technology for road marking and automatic driving, which is applied in the fields of instrument, calculation, character and pattern recognition, etc., can solve problems such as inability to obtain extraction results, interference, etc., to reduce the range of extraction accuracy, improve robustness, and achieve high execution speed. Effect

Active Publication Date: 2019-06-14
WUHAN KOTEI TECH CORP
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] At this stage, most camera-based road marking extraction methods have high requirements on the image acquisition environment. For example, the collected image may only contain the part of the road where the current vehicle is driving. Once it is applied in a complex urban traffic environment, it is extremely difficult. It is susceptible to interference from environmental factors such as other vehicle bodies and tree shadows on both sides of the road, and cannot obtain accurate extraction results

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
  • Road marking extraction method based on forward camera in automatic driving
  • Road marking extraction method based on forward camera in automatic driving
  • Road marking extraction method based on forward camera in automatic driving

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0024] In order to make the objectives, technical solutions and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention and are not intended to limit the invention.

[0025] Such as figure 1 As shown, the present invention provides a method for extracting road markings based on a forward camera in automatic driving, which includes the following steps:

[0026] S1. The forward-facing camera on the self-driving vehicle collects the video stream of the current road scene ahead in real time, and obtains the image data of the current frame, performs inverse perspective transformation matrix operation on each frame of the scene image collected by the camera, and combines the pre-calibrated parameters , to obtain the fragmented orthophoto view in front of...

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 provides a method for extracting road markings based on a forward-facing camera in automatic driving, which obtains an orthographic view of the road markings in front of the current vehicle through inverse perspective transformation, and constrains Currently solve the road segmentation initialization threshold, use the initialization threshold to segment the orthophoto view, judge whether the edge pixels are parallel, and the projection histogram is equidistant, and finally extract the lane lines, road traffic signs, and vehicle stop lines. , Zebra crossing and other road markings. The method for extracting road markings in the present invention has a high execution rate, and by operating the projection histogram, the influence of incomplete image details on detection and extraction can be reduced, and the robustness of the extraction method can be improved. At the same time, a small amount of prior knowledge constraints are added, and the technical means of approximation, divide and conquer, and dimensionality reduction are used to further reduce the range of extraction accuracy and limit the processing of some road scene sub-regions.

Description

technical field [0001] The invention relates to the field of traffic information detection in the automatic driving industry, in particular to a method for extracting road markings based on a forward camera in automatic driving. Background technique [0002] With the development of computer science and robotics, self-driving vehicles have been widely used in military, civil and scientific research, etc., and it has concentrated the latest research results of multiple disciplines such as structure, electronics, cybernetics and artificial intelligence. ,have a broad vision of application. [0003] Being able to detect the current road driving environment in real time is the core function of autonomous driving and vehicle autonomous driving technology, and the real-time extraction of road markings such as lane lines and road traffic signs is an important prerequisite for a safe and intelligent driving environment. [0004] At this stage, most camera-based road marking extracti...

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): G06K9/00
CPCG06V20/588
Inventor 苏晓聪陶靖琦朱敦尧
Owner WUHAN KOTEI TECH CORP
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