Polarization characteristic multi-scale pooling classification algorithm for complex vehicle road environment

The invention provides a polarization characteristic multi-scale pooling classification algorithm for a complex vehicle road environment, and classification of image targets in the complex vehicle road environment is realized. Firstly, vehicle road environment medium conditions are analyzed, and a high-quality imaging mode in a complex vehicle road environment is explored; secondly, a polarizationimaging scheme is designed based on a simulation experiment result, and a three-channel imaging system is assembled and calibrated. finally, a multi-scale pooling deep semantic recognition algorithmis proposed to realize recognition and classification of vehicle and road environment targets. Experimental results show that the semantic classification recognition effect of a complex scene can be effectively improved, and reliable technical guarantee is provided for safe auxiliary driving visual perception of vehicles in a complex vehicle road environment. 本发明提出了一种针对复杂车路环境的偏振特征多尺度池化分类算法，实现了复杂车路环境下图像目标的分类。首先对车路环境介质状况进行分析