Lane Mark Detection Based on Improved Hough Transformation for Vehicle Electronic Technology

A lane mark detection is used in various driver assist systems for vehicle electronic technology. One of the subjects for the vision system is improvement of robustness. Various methods have been tried to achieve it. In this work, we tried to improve the approach for the robustness. Our main idea is the noise reduction based on narrowing a width of search area. The proposed method uses the road model based on the generalized hough transformation. We use the gradient direction to reduce the number of votes and the method is Kernel-based Hough transform. It is shown that the method can achieve better detection result.