利用认知方法从彩色图像中提取道路特征

IEEE Intelligent Vehicles Symposium, 2004 Pub Date : 2004-06-14 DOI:10.1109/IVS.2004.1336398

C. Rotaru, T. Graf, Jianwei Zhang

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引用次数: 36

摘要

本文介绍了一种从单色图像中提取重要道路信息(如道路范围、车道标记)的认知方法。该系统能够识别所有的交通车道，并区分连续和破碎的车道标记。它的输出在驾驶员辅助系统中很有用(例如车道偏离警告)。强调了系统的认知方面，并描述了实现的算法。最后介绍了一些试验结果，并给出了结论。

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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Extracting road features from color images using a cognitive approach

This paper introduces a cognitive method for extracting significant road information (like road extents, lane markings) from mono-color images. The system is able to identify all traffic lanes and to distinguish between continuous and broken lane markings. Its output is useful in driver assistance systems (for example lane-departure warning). The cognitive aspects of the system are highlighted and the implemented algorithms are described. Finally, some results of the performed tests are introduced before drawing the conclusion.

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来源期刊

IEEE Intelligent Vehicles Symposium, 2004

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