Lane Detection Based on Least Square Fitting

被引：0

作者：

Hou Jie ^{[1
]}

Xiao Zhi-tao ^{[1
]}

Zhang Fang ^{[1
]}

机构：

[1] Tianjin Polytech Univ, Sch Elect & Informat Engn, Tianjin 300160, Peoples R China

来源：

MEMS, NANO AND SMART SYSTEMS, PTS 1-6 | 2012年 / 403-408卷

关键词：

Least square fitting; lane detection; improved Otsu;

D O I：

10.4028/www.scientific.net/AMR.403-408.4068

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Lane detection is a key technique for intelligent vehicle driving. Aiming at the detection performance of existing lane detection algorithms, based on least square fitting, we propose a lane detection algorithm for structural road. The lane videos are gotten by the monocular camera installed in the car. Image preprocessing is applied to improve image contrast and then the image is segmented by improved Otsu. At last, the current lanes are extracted and equations are rebuilt by the least square fitting. The experiment results show that the proposed method has better accuracy and robustness compared to existing lane detection algorithms.

引用

页码：4068 / 4072

页数：5

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