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A Study on the Improvement of Vehicle Recognition Rate of Vision System  

Oh, Ju-Taek (한국교통연구원)
Lee, Sang-Yong (한국교통연구원)
Lee, Sang-Min (한국교통연구원)
Kim, Young-Sam ((주)이노시뮬레이션 S&T 연구소)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.10, no.3, 2011 , pp. 16-24 More about this Journal
Abstract
The vehicle electronic control system is being developed as the legal and social demand for ensuring driver's safety is rising. The various Driver Assistance Systems with various sensors such as radars, camera, and lasers are in practical use because of the falling price of hardware and the high performance of sensor and processer. In the preceding study of this research, the program was developed to recognize the experiment vehicle's driving lane and the cars nearby or approaching the experiment vehicle throughout the images taken by CCD camera. In addition, the 'dangerous driving analysis program' which is Vision System basis was developed to analyze the cause and consequence of dangerous driving. However, the Vision system developed in the previous studyhad poor recognition rate of lane and vehicles at the time of passing a tunnel, sunrise, or sunset. Therefore, through mounting the brightness response algorithm to the Vision System, the present study is aimed to analyze the causes of driver's dangerous driving clearly by improving the recognition rate of lane and vehicle, regardless of when and where it is.
Keywords
Driver assistance systems; vision system; brightness response algorithm;
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Times Cited By KSCI : 3  (Citation Analysis)
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