首页> 外文会议>Monolithic Circuits Symposium >On vision-based lane departure detection approach
【24h】

On vision-based lane departure detection approach

机译:基于视觉的车道偏离检测方法

获取原文
获取原文并翻译 | 示例

摘要

This paper analyzes the process of lane departure detection approach. In our vision-based lane departure detection system, we use a single camera as input. In this paper, we discuss how to detect the lanes marking on the road and get the relationship between vehicle and road. Some measurements are derived to calculate TLC (time to lane crossing), for measuring the position of the vehicle relative to the lanes. Besides, the forward-looking predicting mode is introduced to establish the relationship among driver, vehicle, and road. Further more, the criterion can be got to tell whether there is an unintended lane departure. Simulations show that our vision-based lane departure approach does provide an effective alarm when the state of driver goes wrong.
机译:本文分析了车道偏离检测方法的过程。在基于视觉的车道偏离检测系统中,我们使用单个摄像机作为输入。在本文中,我们讨论了如何检测道路上的车道标记并获得车辆与道路之间的关系。得出一些测量值以计算TLC(穿越车道的时间),以测量车辆相对于车道的位置。此外,引入了前瞻性预测模式以建立驾驶员,车辆和道路之间的关系。此外,可以获取判别是否存在意外车道偏离的标准。仿真表明,当驾驶员的状态出现问题时,我们基于视觉的车道偏离方法确实可以提供有效的警报。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号