Lane line recognition algorithm based on threshold segmentation and continuity of lane line - 文章详情页

作者：

Duan, Jianmin (Duan, Jianmin.) (学者：段建民) | Yunfei, Zhang (Yunfei, Zhang.) | Banggui, Zheng (Banggui, Zheng.)

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EI Scopus

摘要：

In　this　paper,　a　new　threshold　segmentation　algorithm　is　proposed　for　lane　line　identification.　First　of　all,　in　the　image　preprocessing　stage,　the　gray　image　is　binarized　by　threshold　algorithm　based　on　median　filter　and　Flood　Fill　algorithm.　Then,　the　binary　image　is　input　to　the　line　segment　detector　(LSD)　algorithm.　Finally,　Non-lane　markings　are　removed　through　geometric　characteristics　and　continuity　of　lane　line.　The　algorithm　has　good　robustness,　real-time　performance,　success　rate　and　accuracy.　©　2016　IEEE.

关键词：

Binary images Floods Image segmentation Median filters Road and street markings Robustness (control systems)

作者机构：

[ 1 ] [Duan, Jianmin]College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
[ 2 ] [Yunfei, Zhang]College of Metropolitan Transportation, Beijing University of Technology, Beijing, China
[ 3 ] [Banggui, Zheng]College of Metropolitan Transportation, Beijing University of Technology, Beijing, China

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