基于Hough扩散区域方法的道路检测算法

Lei Shi, Jianfeng Lu, Jing-yu Yang
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引用次数: 1

摘要

道路识别与检测是智能车辆系统需要解决的关键问题。随着周围环境复杂性维度的增加,道路识别在不同干扰下变得越来越困难。为了提高鲁棒性和抗干扰性,本文提出了一种基于Hough扩散区域的道路检测算法。该算法结合了道路形状的全局信息,在特征空间中辅助利用道路边缘周围的扩散区域像素。同时,通过附加的传感器模块,利用一些预知和估计的方位参数,可以降低计算复杂度,提高实时性。系统的图像采样实验证明了该方法的有效性和适用性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diffused Region of Hough Method Based Road Detection Algorithm
Road identification and detection is the essential problem to be solved in intelligent vehicle systems. As the complexity dimension of the surrounding environment increases, road recognition becomes much harder under different interferences. To increment the robustness and interference immunity, a diffused region of Hough based road detection algorithm is proposed in this paper. This algorithm incorporates the global information of road shape, the assistance usage of the diffused region pixels around the road edges in the feature space. Meanwhile, the computing complexity can be decreased and the real-time ability can be increased with the aid of some pre-knowledge and estimated orientation parameters through additional sensor modules. Experiments with images sampled in our system proved the effectiveness and applicability of this method.
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