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Research On Auto Safety Of Two-lane Technology

Posted on:2015-09-26Degree:MasterType:Thesis
Country:ChinaCandidate:J WangFull Text:PDF
GTID:2308330461979251Subject:Optical engineering
Abstract/Summary:
In this dissertation, Mainly analyze the two-lane technology in automotive safety technology research.In the 21st century, with the improving of people’s living standards, the car has become an indispensable means of transport. The more the vehicles, the frequenter the traffic accidents happen. And drivers are the fundamental reason of the traffic. Therefore, development of automotive safety technology can effectively reduce the number of traffic accidents. Two-lane line technology refers to the car on the road, establish a vehicle path lane line, for target into the lane line, can timely remind the driver.This paper on the establishment of the lane line has made the detailed analysis and calculation, and build the two-dimensional model, so that we can realize lane road, can complete the work, and on this basis to detect and track in front of goal can complete collision on the local work. Basically using monocular vision technology solved this lane of the partial and collision avoidance task.In this paper, the second chapter mainly using image processing technology was carried out on the road image preprocessing, including image gray-scale transformation, smoothing, image enhancement, and eliminate the noise on the image. Using the method of image edge detection, all to extract the image edge line; The third chapter using the lane line algorithm for identification of actual road lane line, to extract the road lane line in the picture and analysis; The fourth chapter according to extract the lane line, the establishment of security needed for the car that runs its own security lane line; Experiment analysis, The fifth chapter summarizes, only guarantee the basic needs of collision avoidance, and finally, with the other method to extract the lane line and double lane line technology is advanced.
Keywords/Search Tags:machine vision, road detection, safety double lane
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