期刊文献+

基于动态感兴趣区域的光照无关车道线检测算法 被引量:12

Illumination Invariant Lane Detection Algorithm Based on Dynamic Region of Interest
下载PDF
导出
摘要 为保证自动驾驶的安全性和高效性,基于Hough变换与投票法找到道路图像的消隐点,以此建立动态感兴趣区域,根据白色与黄色车道线的颜色特性设计光照无关车道线检测算法,实现夜晚、隧道等复杂光照环境下的车道线区域检测。在此基础上,设计极角约束算法对候选车道线进行筛选,得到最终的有效车道线。实验结果表明,该算法在复杂光照环境下具有较好的检测效果,平均检测准确率高达93.5%。 In order to ensure the safety and efficiency of automatic driving,the vanishing points of road images are found based on Hough transform and voting method,thereby establishing the Dynamic Region of Interest(DROI).Then the illumination invariant lane detection algorithm is designed according to the features of white and yellow lanes to realize the detection of lane area under various complicated illumination conditions such as night and tunnel.On this basis,a.polar angle constraint algorithm is designed to screen the candidate lanes to get the final effective lane.Experimental results show that the algorithm has a good detection effect which can reach an average accurate detection rate of 93.5% under various complicated illumination conditions.
出处 《计算机工程》 CAS CSCD 北大核心 2017年第2期43-47,56,共6页 Computer Engineering
关键词 自动驾驶 车道线检测 HOUGH变换 动态感兴趣区域 光照无关 极角约束 automated driving lane detection Hough transform Dynamic Region of Interest(DROI) illumination invariant polar angle constraint
  • 相关文献

参考文献1

二级参考文献10

共引文献4

同被引文献89

引证文献12

二级引证文献60

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部