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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...
This paper presents a method for triangular and rectangular shapes detection in a road sign recognition system based on a three step algorithm: color segmentation, shape detection and neural network classification. The shape detector is based on the evaluation of the Sobel edges and Hough images in a region of interest detected by the color-based stage. During the tests performed the shape detector...
Based on the sharing features of a variety of license plates (LP), the vertical edge was first detected by sobel color edge detector. Then, some approaches were adopted to adaptively remove the invalid edge regarding the characteristics of edge grayscale jump and edge density, so that the regions having features of LP were preserved. Next, by edge density template matching and the mean and variance...
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