Monocular Aptitude Lane Departure Warning System Design

LV Ke-yan; ZHU Ming; HE Bai-gen; YANG Yue-tao

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Monocular Aptitude Lane Departure Warning System Design

Imaging Technology & Image Processing | 更新时间：2020-08-12

- Monocular Aptitude Lane Departure Warning System Design
- Chinese Journal of Liquid Crystals and Displays Vol. 27, Issue 4, Pages: 545-551(2012)
- 作者机构：
  
  1. 中国科学院研究生院北京,100049
  2. 中国科学院航空光学成像与测量重点实验室, 中国科学院长春光学精密机械与物理研究所,吉林长春,130033
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391.9
- Received：09 March 2012，
  
  Revised：16 May 2012，
  
  Published Online：15 August 2012，
  
  Published：15 August 2012
- 稿件说明：
移动端阅览
吕柯岩, 朱明, 贺柏根, 杨粤涛. 单目智能车道偏离预警系统[J]. 液晶与显示, 2012,(4): 545-551

LV Ke-yan, ZHU Ming, HE Bai-gen, YANG Yue-tao. Monocular Aptitude Lane Departure Warning System Design[J]. , 2012,(4): 545-551
吕柯岩, 朱明, 贺柏根, 杨粤涛. 单目智能车道偏离预警系统[J]. 液晶与显示, 2012,(4): 545-551 DOI：

LV Ke-yan, ZHU Ming, HE Bai-gen, YANG Yue-tao. Monocular Aptitude Lane Departure Warning System Design[J]. , 2012,(4): 545-551 DOI：

摘要

车道偏离预警系统是继安全气囊之后的汽车安全辅助系统

该系统主要任务是采用基于机器视觉的方法提取车道线并进行预警决策。文章利用TMS320DM642视频处理器作为中央处理器

设计出基于DM642的车道偏离预警系统硬件架构

算法方面对图像进行灰度化、二值化和边缘提取做预处理

然后设置感兴趣区域(ROI)

利用基于相位编组的改进Hough变换(RHT)进行车道线检测

根据车道偏离预警条件进行预警决策

当车辆在驾驶员非意识时偏离车道线的情况下实施报警。试验结果证明

本系统能够提前2.5 s进行车道偏离的预警工作

并能够排除路面标记的影响

满足车道偏离预警系统实时、鲁棒的性能要求。

Abstract

Lane Departure Warning System (LDWS) is a car safety assist systems

following the capsule of the safety

whose main task is to extract lane markings and make warning-decision. In this paper

the lane departure warning system hardware architecture is designed based on TMS320DM642 which acts as the central processing unit. The algorithms turn the image into grayscale

and then detect the image’s edge information

in the end set the region of interest (ROI) on the image. Hough transform based on phase grouping is used to extract the lanes

and according to the lane departure warning conditions

the system analyzes whether the warning should be presented or not and gives the driver warning singles when it is unconscious. The experiments results proved that the system will make warning in 2.5 s before the traffic accident

which implements the aim of the real-time

reliable lane departure warning.

关键词

Keywords

references

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Related Institution

Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences

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Chinese Academy of Science, Changchun Institute of Optics, Fine Mechanics and Physics

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