基于拐角相邻特征的道路检测分析

2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS) Pub Date : 2016-10-01 DOI:10.1109/ICACSIS.2016.7892513

M.D. Enjat Munaja, D. H. Widyantoro, R. Munir

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引用次数: 0

摘要

本文讨论了一种利用拐角相邻特征进行道路检测的新方法。拐角是车辆从一个点移动到另一个点的每个部分得到的顶点，这将是道路边界计算过程的基础。采用Lukas Kanade和Melkman算法[13]证明，提高系统对运动物体运动的响应能力。事实证明，在下午晚些时候，在光线最小的情况下，该系统能够记录1分钟的角落，并以可接受的精度显示道路边界掩蔽。然而，在道路条件下，如有树木或其他障碍物在道路区域产生阴影，导致读取错误，系统仍需要改进。实验结果表明，该系统能够有效地利用单摄像头读取道路边界状况。

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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Road detection analysis based on corner adjacent features

This article discusses a new method in detecting the road by using corner adjacent features. Corner is a vertices obtained from every part of vehicle moving from one point to the other, which will be the basic for the road boundary calculation process. The adoption of Lukas Kanade and Melkman algorithm [13] proofs to improve system responsiveness towards the motion of moving object. It is proven that from object reading in the late afternoon with minimum light available, the system able to record corner for 1-minute duration and revealing road boundary masking, in an acceptable level of precision. Nevertheless, system still needs improvement on road condition consisting of trees or any other obstacles producing shadows on the road area, causing the incorrect reading. It is concluded that the proposed system is effectively and efficiently able to read road boundary condition by using a single camera.

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2016 International Conference on Advanced Computer Science and Information Systems (ICACSIS)

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