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Completely unstructured road detection for pseudo-color space
伪彩色空间完全非结构化道路检测方法

Keywords: unstructured road detection,cubic spline curve,sub-region growing model,image processing
非结构化道路检测
,三次样条曲线,子区生长模型,图像处理

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Abstract:

Detecting completely unstructured road may improve the adaptability for different environments,which is crucial for intelligent autenomous vehicle driving. In this paper, a road detection algorithm combined with cubic spline curve model and block sub-region growing model (CSCM_BSG) is proposed for true-color information of real-time road images.The algorithm applies the cubic spline interpolation to achieve the pseudo-color mapping at first, and accomplishes road region detection using the sub-region growing method combining the primary and secondary pseudo-hues with textures.The tests and comparative experiments on field images show that the algorithm is not only more accurate and applicable in real-time for road regions, but also has stronger counter-interference capability for shadows, water stains.

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