Color-based detection of vehicle lights

I. Cabani, G. Toulminet, A. Bensrhair
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引用次数: 60

Abstract

In this article, we present a first approach in the conception of a vision system dedicated to the detection of vehicles in reduced visibility conditions. It is based on a self-adaptive stereo vision extractor of 3D edges or obstacle and a color detection of vehicle lights. The detection of vehicle lights uses the L*a*b* color space. The vision system detects three kinds of vehicle lights: rear lights and rear-brake-lights; flashing and warning lights; reverse lights and headlights.
基于颜色的车灯检测
在这篇文章中,我们提出了第一种方法,在视觉系统的概念,专门用于检测车辆在低能见度条件。它是基于自适应立体视觉的三维边缘或障碍物提取和车辆灯光的颜色检测。车灯的检测使用L*a*b*色彩空间。视觉系统检测三种车辆灯:尾灯和后刹车灯;闪烁和警示灯;倒车灯和前灯。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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