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。

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In addition, taking spatial information into account, two statistical features were presented: local matching degree and local Max average difference.

另外，为了考察图像的空域信息，本文提出了两个统计特征：局部匹配度特征和局部最大平均差分特征。

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