Study on lane boundary detection in night scene

2009 IEEE Intelligent Vehicles Symposium Pub Date : 2009-06-03 DOI:10.1109/IVS.2009.5164335

Xinyu Zhang, Zhong-ke Shi

引用次数: 8

Abstract

Lane boundary detection is the most important component of Driving Assistance System which aims at keeping drivers safe. In this paper, a method combining the edge characteristics with brightness of lane is discussed for traffic scene at night. First images are preprocessed by dual thresholding algorithm in green channel. Then, the edge is detected by a fast method based on single-direction gradient operator. Finally, noises such as headlights of vehicles, reflected lights and street lamps are removed through filter template. Experiment results indicate that the proposed approach is adapted to night condition.

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夜景中车道边界检测的研究

车道边界检测是辅助驾驶系统的重要组成部分，其目的是保障驾驶员的安全。本文讨论了一种将车道边缘特征与车道亮度相结合的夜间交通场景识别方法。首先在绿色通道中对图像进行双阈值预处理。然后，采用基于单向梯度算子的快速边缘检测方法。最后，通过过滤模板去除车辆前照灯、反射灯、路灯等噪声。实验结果表明，该方法适用于夜间环境。

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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2009 IEEE Intelligent Vehicles Symposium

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