基于语义分割的道路区域识别与分割

针对道路区域的识别与分割,我们采用计算机视觉领域的语义分割的实现思路进行解决.本文提出了一种处理效率较高的语义分割算法,首先设计了一条空间路径来保留空间信息生成高分辨率的特征,同时又有一条环境路径快速的降采样来获得充分的感受野,最后提出了特征融合模块有效地结合这两种特征.

For the recognition and segmentation of road area,we use the idea of semantic segmentation in the field of computer vision to solve the problem.In this paper,a semantics segmentation algorithm with high processing efficiency is proposed.Firstly,a spatial path is designed to preserve spatial information to generate high-resolution features.At the same time,a context path is rapidly downsampled to obtain sufficient perception fields.Finally,a feature fusion module is proposed to effectively combine the two features.