군용 중장비 안전 수송을 위한 지능형 차량 안전 시스템 개발
Development of Intelligent Vehicle Safety System for the Safe Transport of Heavy Equipments
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Abstract
The wide trailer is commonly used in military to transport equipments heavy and large, such as tanks, armoured vehicles, and mobile gunneries. But it has vulnerability of causing traffic accidents by bumping or colliding with another car in adjacent lane due to its width which is over its own lane. Moreover, a careless driver also increase possibility of car accidents on the road. In this paper, the recognition system of lane and vehicle headway direction is developed to detect the possible collision and warn the driver to prevent a fatal accident. First of all, Sobel and Kalman filters were used to extract the border of driving lane from the video images supplied by the CCD camera attached with the vehicle and it's completed to detect driving lane with regression analysis. After, the vehicle headway direction is recognized by using neural network scheme with the extracted parameters of the detected driving lane feature and neighborhood vehicles. The practical experiments for the developed system are also carried out in the real traffic road of Seoul city area and the results show us the more than 90% accuracy in recognizing the driving direction and neighborhood vehicles.
참고문헌 (16)
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