Lane Detection based on Color Probability Model and Fuzzy Clustering

被引：0
|
作者：
Yu, Yang [1 ]
Jo, Kang-Hyun [1 ]
机构：
[1] Univ Ulsan, Sch Elect Engn, Ulsan, South Korea
来源：
NINTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2017) | 2018年 / 10615卷
关键词：
Inverse perspective mapping; Color probability model; Fuzzy local information C-means; Lane line detection;
D O I：
10.1117/12.2302941
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
In the vehicle driver assistance systems, the accuracy and speed of lane line detection are the most important. This paper is based on color probability model and Fuzzy Local Information C-Means (FLICM) clustering algorithm. The Hough transform and the constraints of structural road are used to detect the lane line accurately. The global map of the lane line is drawn by the lane curve fitting equation. The experimental results show that the algorithm has good robustness.
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收藏
页数：6
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