Lane Detection Algorithm Based on Projection Statistics and Hyperbolic Fitting

被引：1

作者：

Wang Q. ^{[1
,2
]}

Wei Z. ^{[1
]}

Wang N. ^{[1
]}

Chen W. ^{[1
]}

Xie Y. ^{[3
]}

机构：

[1] School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei

[2] Hefei University, Hefei

[3] Anhui Leoparrd Automobile Co., Ltd., Chuzhou, 239064, Anhui

来源：

Zhongguo Jixie Gongcheng/China Mechanical Engineering | 2019年 / 30卷 / 04期

关键词：

Hyperbolic; Lane detection; Projection statistics; Real-time performance;

D O I：

10.3969/j.issn.1004-132X.2019.04.003

中图分类号：

学科分类号：

摘要：

A lane detection algorithm was proposed based on projection and hyperbolic fitting. Firstly, the collected images were preprocessed, and the feature points of lane marks were extracted by the informations such as the widths of lane lines. Secondly, the vanishing points were located according to the positions and the direction angles of feature points, lanes of near field were extracted based on the vanishing points, and then supplemented the lane. Finally, lanes of near field information and hyperbolic fitting were used to find the best lanes where there were a crooked road. The experimental results show that the algorithm proposed herein may effectively detect the lanes with different curvatures, and the proposed lane detection method has high accuracy rate. The algorithm exhibits high robustness under various environments. © 2019, China Mechanical Engineering Magazine Office. All right reserved.

引用

页码：393 / 399

页数：6

共 24 条

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