AURORA: a vision-based roadway departure warning system

Mei Chen, T. Jochem, D. Pomerleau
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引用次数: 135

Abstract

AURORA is a vision-based system designed to warn a vehicle driver of possible impending roadway departure accidents. It employs a downward looking color video camera with a wide angle lens, a digitizer, and a portable Sun Sparc workstation. Using a binormalized adjustable template correlation algorithm, it reliably detects lane markers on structured roads at 60 Hz. A time-to-lane-crossing (TLC) measurement is calculated for each image based on the estimation of vehicle's lateral position and velocity. This measurement is used to trigger an alarm when the TLC falls below a preset threshold. Promising results have been achieved under a variety of weather and lighting conditions, on many road types.
AURORA:基于视觉的道路偏离预警系统
AURORA是一种基于视觉的系统,旨在警告车辆驾驶员可能即将发生的道路偏离事故。它采用了一个带广角镜头的向下看彩色摄像机、一个数字化仪和一个便携式Sun Sparc工作站。采用二值化可调模板相关算法,以60 Hz的频率可靠地检测结构化道路上的车道标记。在估计车辆的横向位置和速度的基础上,计算每个图像的TLC测量值。当TLC值低于设定的阈值时触发告警。在各种天气和照明条件下,在许多道路类型上取得了令人鼓舞的结果。
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