Curved lane detection using robust feature extraction

被引：0

作者：

Jang, Ho-Jin ^{[1
]}

Baek, Seung-Hae ^{[1
]}

Park, Soon-Yong ^{[1
]}

机构：

[1] Kyungpook Natl Univ, Sch Engn & Comp Sci, KS002, Daegu, South Korea

来源：

2014 2ND INTERNATIONAL CONFERENCE ON SYSTEMS AND INFORMATICS (ICSAI) | 2014年

关键词：

vision; lane detection; curved lane detection; robust lane feature extraction;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, we propose a robust curved lane marking detection method by first detecting a straight lane and applying a geometric model of that detected straight lane. In our proposed method, we first detect the straight line and generate 13 candidates of the curved lane by applying a geometric model. We then vote those candidates on the feature image and consider the candidate which acquires the highest number of votes as the final curved lane. The performance and the efficiency of the proposed algorithm are confirmed by the experimental results.

引用

页码：109 / 112

页数：4

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