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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
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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 information (vehicle flow, lane occupancy, vehicle speed, etc.), when traffic congestion does not occur, take timely measures to guide traffic and prevent traffic congestion

Method used

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Experimental program
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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...

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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

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Application Information

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IPC IPC(8): G08G1/01G08G1/052G06K9/00
Inventor 宫宁生
Owner 宫宁生
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