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http://dx.doi.org/10.6109/jkiice.2012.16.8.1693

Driving Vehicle Detection and Distance Estimation using Vehicle Shadow  

Kim, Tae-Hee (동신대학교 정보보안학과)
Kang, Moon-Seol (광주대학교 컴퓨터공학과)
Publication Information
Journal of the Korea Institute of Information and Communication Engineering / v.16, no.8, 2012 , pp. 1693-1700 More about this Journal
Abstract
Recently, the warning system to aid drivers for safe driving is being developed. The system estimates the distance between the driver's car and the car before it and informs him of safety distance. In this paper, we designed and implemented the collision warning system which detects the car in front on the actual road situation and measures the distance between the cars in order to detect the risk situation for collision and inform the driver of the risk of collision. First of all, using the forward-looking camera, it extracts the interest area corresponding to the road and the cars from the image photographed from the road. From the interest area, it extracts the object of the car in front through the analysis on the critical value of the shadow of the car in front and then alerts the driver about the risk of collision by calculating the distance from the car in front. Based on the results of detecting driving cars and measuring the distance between cars, the collision warning system was designed and realized. According to the result of applying it in the actual road situation and testing it, it showed very high accuracy; thus, it has been verified that it can cope with safe driving.
Keywords
Lane Recognition; Vehicle Extraction; Vehicle Distance Recognition; Hough Transform; Collision Warning;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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