中国机械工程

• 机械基础工程 • 上一篇    下一篇

基于投影统计与双曲线拟合的车道识别算法

王其东1.2;魏振亚1;王乃汉1;陈无畏1;谢有浩3   

  1. 1.合肥工业大学汽车与交通工程学院,合肥,230009
    2.合肥学院,合肥,230601
    3.安徽猎豹汽车有限公司,滁州,239064
  • 出版日期:2019-02-25 发布日期:2019-02-26
  • 基金资助:
    国家自然科学基金资助项目(51375131);
    国家自然科学基金联合基金资助项目(U1564201);
    安徽省科技重大专项(17030901060);
    江苏省道路运载工具新技术应用重点实验室开放课题资助项目(BM20082061703)

Lane Detection Algorithm Based on Projection Statistics and Hyperbolic Fitting

WANG Qidong1,2;WEI Zhenya1;WANG Naihan1;CHEN Wuwei1;XIE Youhao3   

  1. 1.School of Automotive and Transportation Engineering, Hefei University of Technology, Hefei, 230009
    2.Hefei University, Hefei, 230601
    3.Anhui Leoparrd Automobile Co., Ltd., Chuzhou, Anhui, 239064
  • Online:2019-02-25 Published:2019-02-26

摘要: 提出了一种运用投影统计与双曲线拟合的车道线识别方法。首先对采集的图像进行预处理,利用车道线宽度等信息提取车道线的特征点;然后根据特征点的位置及方向角分布对消失点进行定位,并基于消失点位置提取近视场直道模型,再结合直道模型对当前车道进行补充;最后利用近视野车道直线信息和双曲线拟合,对存在弯曲车道的车道线进行车道线寻优。实验结果表明,提出的算法能有效检测不同曲率的车道线,所提出的车道检测方法准确率高,在复杂行驶环境下表现出较高的鲁棒性。

关键词: 车道线识别, 投影统计, 双曲线, 实时性

Abstract: 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.

Key words: lane detection, projection statistics, hyperbolic, real-time performance

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