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Binocular Stereovision Based on Vehicles Distance Measurement Algorithm Research

Author: ZhangRuiMin
Tutor: ZhangZhiBin
School: Inner Mongolia University
Course: Computer technology
Keywords: Binocular vision Camera calibration Image processing Vehicle spacing
CLC: TP391.41
Type: Master's thesis
Year: 2011
Downloads: 114
Quote: 2
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Abstract


In this paper, the rapid increase in car ownership in China , road traffic accidents high rate of traffic safety issues have become increasingly prominent , binocular stereo vision technology , image processing and pattern recognition theory based on the license plate of the vehicle as the vehicle in front detection based on a moving vehicle in front of the safety car distance measurement algorithm . First, the binocular vision principle to conduct in-depth analysis of the system ; binocular stereo vision system calibration parameters inside and outside of the key technologies for binocular stereo vision technology - combined highway traffic application environment , the system calibration template and model of the camera , and on this basis to determine the calibration method used by the Institute . Parameters obtained by the calibration method better able to adapt vehicles for distance measurement requirements . Based on the vehicle safe distance between vehicles binocular stereo vision system to detect the need to select the vehicle license plate as a test object . Study region gray color image plate number variation based on the principle of binocular stereo vision , to get around the license plate center coordinates . Then , based on a license plate center coordinates of the target vehicle around camera , binocular vision three-dimensional reconstruction equations calculate the distance of the target vehicle to the camera . The experimental results show that the measurement accuracy of the ranging program to meet the need of moving vehicles in road traffic safety distance measurement , is an effective distance from the vehicle in front of the measurement program .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Pattern Recognition and devices > Image recognition device
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