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This paper proposes a method for detecting vehicles in urban traffic. The proposed method extracts vehicle candidates using AdaBoost. The candidate extraction process was speeded up further, exploiting inverse perspective transform matrix. Then the vehicle candidates were verified by the existence of vertical and horizontal edges. The detected vehicle regions were corrected by the vertical edges and...
Lane detection is one of fundamental but critical problems for lane following system of intelligent vehicles. However, a robust and cost effective approach is still a deserve exploit issue. A novel and effective approach using a five steps scheme is presents. First, Canny detector is used to obtain edge map from the road image acquired from monocular camera mount on vehicle; Second, a matching process...
Vehicle flow detection plays an important role in ITS. In the process of vehicle flow detection, the vehicle is contiguous with another and the same vehicle counted repeatedly are common problems, especially the problem of changing lanes, which is very difficult to solve. This paper uses the method that combines background difference and virtual-loop sensor to detect vehicle flow, which based on the...
A novel vision-based road detection method was proposed in this paper to realize visual guiding navigation for ground mobile vehicles in outdoor environments. The road region was first segmented from the jumbled backgrounds by using an adaptive threshold segmentation algorithm named OTSU. Subsequently, the Canny edges extracted in grey images would be filtered in the road region so that the road boundary...
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