Abstract
A hard real-time vision system has been developed that analyses color videos taken from a car driving on a highway. This system uses a combination of color, edge, and motion information to recognize and track the road boundaries, lane markings and other vehicles on the road. A real time vision system detecting lane boundary and tracking vehicles on highway under reduced visibility is described and evaluated in this paper. By using a forward looking camera in a moving car the system recognize lane boundary, and the car driver is warned to the distance from other vehicle on the road and making decision of left or right lane departure. To decide controlling brake and turning left or right departure, the system uses the rear light signal of other vehicle on the road. In this research, color space transformation, edge detection, morphological boundary detection and spectrum difference are mainly used.
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