A new road recognition algorithm based on local statistical features and principal component analysis is introduced to improve its robustness and adaptiveness.
为了提高道路识别算法的鲁棒性和自适应性，提出了基于局部统计特征和主元分析的道路识别算法。
Color information and local spatial features are combined in the HSV color space in order to obtain principal components by principal component analysis neural networks.
在HSV彩色空间将颜色信息和局部空间特征相结合，利用主元神经网络提取主成分；
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