Lane line detection in real time based on morphological operations for driver assistance system

M. Kodeeswari, Philemon Daniel
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引用次数: 6

Abstract

The objective of this paper is to use image processing techniques to identify the lane lines on the hilly road based on Hough transform. Vision based approach is utilized as it performs well in a wide variety of situations by extracting rich set of information compared to other sensors. The proposed method processes the live video stream from a monocular camera using matlab and extracts the position of lane markings and an algorithm is used to find the lane lines present on the road.
基于形态学操作的车道线实时检测在驾驶员辅助系统中的应用
本文的目的是利用基于霍夫变换的图像处理技术来识别丘陵道路上的车道线。与其他传感器相比,基于视觉的方法可以提取丰富的信息,在各种情况下都能很好地应用。该方法利用matlab对单目摄像机的实时视频流进行处理,提取车道标线的位置,并利用一种算法找到道路上存在的车道线。
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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