哈尔滨工程大学学报Issue(9)：1156-1163,8.DOI:10.3969/j.issn.1006-7043.201401046
基于梯度增强和逆透视验证的车道线检测
Lane detection based on gradient-enhancing and inverse perspective mapping validation
摘要
Abstract
For solving the problem of the missing detection of faint lanes in highway and urban road, a lane marker detection method based on gradient enhancing and inverse perspective mapping ( IPM) is proposed in this paper. This method first extracts potential lane markers based on the structure and contrast features of the lane marker and then selects lane marker and road samples from the extracted potential lane markers. The fuzzy linear discriminat a-nalysis is applied to obtain the most discriminative transformation coefficient from RGB color image to gray image, so that in the IPM image, the intensity difference between lane and road pixels is enlarged, which effectively en-hances the faint lane. In order to resolve missing detection of dotted lane, the IPM is further applied, and geometry relationship of potential lanes in IPM is tested and verified for removing false lanes and avoiding missing dotted lanes. Experiments on road images in different scenarios and different weather conditions demonstrate the robustness and accuracy of the proposed method.关键词
先进驾驶辅助系统/车道线检测/梯度增强/逆透视变换/弱线检测/虚线检测Key words
advanced driver assistance systems/lane detection/gradient enhancing/inverse perspective mapping/faint line detection/dotted line detection分类
信息技术与安全科学引用本文复制引用
王超,王欢,赵春霞,任明武..基于梯度增强和逆透视验证的车道线检测[J].哈尔滨工程大学学报,2014,(9):1156-1163,8.基金项目
国家自然科学基金资助项目（61175082，61203246）． （）
