Curve lane detection based on the binary particle swarm optimization

被引：0
|
作者：
Li, Shoutao [1 ,2 ]
Xu, Jingchun [2 ]
Wei, Wei [2 ]
Qi, Haiying [1 ]
机构：
[1] Changchun Univ Architecture & Civil Engn, Sch Elect Informat 130022, Changchun 130607, Jilin, Peoples R China
[2] Jinlin Univ, Coll Commun Engn, Changchun, Jilin, Peoples R China
来源：
2017 29TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2017年
关键词：
curve lane detection; B-spline curve fitting; binary particle swarm optimization; SYSTEM;
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：
The method of B-spline curve fitting linebased on the binary particle swarm optimization is presented in this paper. First, according to the characteristics of the vertical and transverse width of the line must be straight, to extract the lane line feature points, and sorting out the feature points. Then, we select the cubic B-spline curve to fit the curve lane, first the discrete bunary particle swarm algorithm to optimize the number n of the control points, then by the least square method to calculate the control points of B-spline curve, according to the B-spline crrve fitting out the corresponding curve line. In order todetect corners recognition performance in a variety of road conditions has carried on the experimental study and the results show that the method has great adaptability.
引用
收藏
页码：75 / 80
页数：6
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