现代电子技术2017，Vol.40Issue(14)：109-113,5.DOI:10.16652/j.issn.1004-373x.2017.14.031
复杂环境下道路车道线识别算法的研究
Study on recognition algorithm of lane line on road in complicated environment
摘要
Abstract
It is difficult to recognize the lane line on road in the severe environments such as different illumination,rain day,snow day,fog day,etc,therefore a lane line identification algorithm is studied.Under the condition of weak illumination,the appropriate threshold is selected by means of area operator to realize the edge enhancement.Under the condition of weaker illumination at night,the SUSAN operator is improved to realize the edge enhancement of the dark road at night,and eliminate the noise interference caused by fuzzy road information and surrounding factors.Under the condition of strong light,the high light filtering algorithm can remove the pseudo edge interference,and realize the accurate recognition of the lane line.Under the conditions of snow or rain day,since the feature point of the lane line can't be identified accurately because of the complex road conditions caused by road water-logging,the reflection model of road water-logging was established to eliminate the influence of light reflection,enhance the contrast of roads and lanes information,and extract the lane line information accurately.Under the condition of fog day,because the road information is blur,the road recognition model based on inverse perspective principle and difference separation was established to perform the enhancement analysis for road feature,enhance the lane information,and improve the recognition effect.The experimental results verify that the road lane line recognition algorithm is effective in complex environment,has strong robustness and anti-interference ability,and can be applied to the intelligent transportation system.关键词
车道线/车道线信息提取/逆透视变换/边缘增强Key words
lane line/lane line information extraction/inverse perspective transformation/edge enhancement分类
信息技术与安全科学引用本文复制引用
曹月花,罗文广,蓝红莉,赵晓东..复杂环境下道路车道线识别算法的研究[J].现代电子技术,2017,40(14):109-113,5.基金项目
国家自然科学基金项目(61563006) （61563006）
广西汽车零部件与整车技术重点实验室基金项目(13-051-38)及开放基金项目(2013KFZD03)资助 （13-051-38）
