Video-based driveway automatic identification method

An automatic identification and lane technology, applied in character and pattern recognition, road vehicle traffic control system, traffic flow detection, etc., can solve problems such as unsatisfactory detection effect and difficult road boundary line, so as to improve completeness and remove interference , the effect of high recognition accuracy

Inactive Publication Date: 2011-09-28
宫宁生
View PDF4 Cites 25 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to propose a video-based automatic identification method for vehicle lanes, which can extract traffic flow informatio

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
  • Video-based driveway automatic identification method
  • Video-based driveway automatic identification method
  • Video-based driveway automatic identification method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0067] According to the road recognition method introduced above, the road recognition video takes a grayscale image of 352×288 as an example, that is, W=352, H=288, and the sampling frequency of the image is 10 frames / second. Consider the most common two-way four-lane situation in urban roads.

[0068] According to the idea of ​​the method, 200 learning sample pairs are manually selected from 10 frame difference images as the learning samples of the neural network. The threshold T1 for segmenting the vehicle and the background is automatically obtained by an iterative method when the program is running. Image segment R=6, TG[R]={1*1, 2*2, 3*3, 4*4, 5*5, 6*6}. The scanning line is divided into segments M=8. y1=4, y2=80, x1=2, x2=180, proportional coefficient k=0.5.

[0069] From the final results of the experiment, it can be seen intuitively that the lane lines extracted by the experiment are basically consistent with the actual road lane lines, and the accuracy is relative...

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 video-based driveway automatic identification method, which relates to a road identification method of accumulated frame-difference technology. The method mainly introduces a neural network as a classifier and uses the neural network and the frame-difference technology in combination to identify driveway positions and detect vehicles. Compared with the traditional road identification method which has the problems of complicated process, susceptibility to interference and unsatisfactory identification effect, the method provided by the invention uses learning, association and fault tolerance of the neural network to eliminate disturbances in frame-difference images, improves the accuracy of driveway position identification and provides a basis to automatically mark detection-line positions for the following vehicle detections.

Description

technical field [0001] The present invention relates to the field of traffic intelligent systems, in particular to a lane recognition method for real-time monitoring of road traffic flow and road condition information, in particular to a video-based automatic lane recognition method for automobiles, which can extract traffic information in time Traffic information (traffic volume, lane occupancy rate, vehicle speed, etc.), when traffic congestion does not occur, timely measures are taken to guide traffic and prevent traffic congestion. When traffic congestion occurs, information can be released in time to inform subsequent vehicles to adjust their driving routes in time, so that the already congested traffic can be relieved as soon as possible. Background technique [0002] The real-time collection and processing of traffic information is one of the key technologies of ITS. The advanced traffic information collection system can not only grasp the current traffic operation s...

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): G08G1/01G08G1/052G06K9/00
Inventor 宫宁生
Owner 宫宁生
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