Detection of passing vehicle on the highway

Zheng Li, Wei Chen, Han-gen He
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引用次数: 2

Abstract

This paper presents a novel method for passing vehicle detection through a monocular camera on the highway, based on the road surface dynamic texture. From the marking line information, the algorithm firstly establishes a model for the texture characters of each lane on the highway. Then, it is estimated whether the area of interesting (AOI) exists by means of using the continuity information of the road surface texture and the similarity information of the surface texture between the adjacent lanes. Finally, whether a vehicle appears in the AOI is confirmed based on the information of the marking line. The experiment demonstrates that this approach can detect the passing vehicle through from the back of the ego-vehicle quickly and correctly. The algorithm is robust and low cost, and it meets the demand of the real-time system.
高速公路上过往车辆的检测
提出了一种基于路面动态纹理的高速公路单目摄像机通过车辆检测的新方法。该算法首先从标线信息出发,建立高速公路上每条车道的纹理特征模型;然后,利用路面纹理的连续性信息和相邻车道间路面纹理的相似性信息,估计感兴趣区域(AOI)是否存在;最后,根据标线信息确认车辆是否出现在AOI中。实验结果表明,该方法能够快速、准确地检测出自车后方经过的车辆。该算法鲁棒性好,成本低,满足了系统实时性的要求。
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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