Lane line predicating and early warning method suitable for city road

A lane line detection and lane line technology, which is applied in traffic flow detection, instruments, character and pattern recognition, etc., can solve the problems of many road interference marks, missing lane marking lines, low accuracy of lane alarms, etc.

Active Publication Date: 2014-08-27
HUNAN UNIV
View PDF4 Cites 66 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

For urban semi-structured roads, due to many factors such as complex and changeable road conditions, defective lane markings, serious pollution, and many road interference signs, the exi

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 line predicating and early warning method suitable for city road
  • Lane line predicating and early warning method suitable for city road
  • Lane line predicating and early warning method suitable for city road

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0072] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0073] The invention collects video images on urban roads, the collection device is an industrial camera, and the experimental computing platform is a notebook computer.

[0074] Aiming at factors such as complex and changeable urban semi-structured road conditions, lane marking line defects, serious pollution, road surface interference signs and vehicles, etc., based on the road straight line model, the invention proposes a road with good real-time performance and is suitable for urban roads. and robust lane line recognition method, the flow chart is as follows figure 1 shown. On the basis of accurately detecting lane lines, a lane departure warning model based on lateral distance is established to realize assisted driving.

[0075] A lane prediction and early warning method suitable for urban roads, comprising the following steps:

[0076] Step 1: ...

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 lane line predicating and early warning method suitable for a city road. According to the method, firstly, down sampling is performed on a collected road image, a detection region of interest is set and grayed, filtering enhancement is performed on the region of interest, edge detection is performed through a Canny operator, binarization is performed on the image after edge detection, then the image is mapped on a Hough plane, and lane lines are extracted through improved Hough conversion; then, parameters of the lane line are predicated by the adoption of a classical Kalman filtering algorithm, a region of interest is established, and the lane lines in the region of interest are fitted through a least square method to obtain the optimal predication value; finally, road surface information and current position information of automobiles are combined to establish a lane line departure warning model based on transverse distance, and therefore departure warning is achieved. The recognition method for the lane lines is good in real-time performance and robustness, according to the lane line departure warning model, calculation is easy, and warning is accurate.

Description

technical field [0001] The invention belongs to the technical field of automobile active safety, and relates to a lane line prediction and early warning method suitable for urban roads. Background technique [0002] With the rapid development of social economy, the number of cars is increasing, which brings convenience to people's life, but also brings frequent traffic accidents. According to statistics, about 10 million people are injured in road traffic accidents worldwide every year, and the economic losses directly caused by these accidents account for about 13% of the world's GDP. According to estimates by the US Federal Highway Administration, about 44% of all fatal highway traffic accidents in the United States in 2002 were related to vehicles leaving their lanes. In order to effectively reduce and avoid the occurrence of lane departure traffic accidents, domestic and foreign research institutions and automobile R&D and manufacturers pay more and more attention to th...

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): G08G1/01G08G1/16G06K9/00
Inventor 王耀南彭湃赵科凌志刚张楚金卢笑
Owner HUNAN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap