Lightweight tiny traffic sign recognition method for vehicle-mounted intelligent system

The invention relates to a lightweight tiny traffic sign recognition method for a vehicle-mounted intelligent system, and belongs to the field of intelligent traffic. And performing compression processing on the acquired environment image to obtain an image file with a specified size. Inputting the image into an information flow logic propagation network, and simply extracting multi-layer low-level semantic information of the image by the information flow logic propagation network; boundary information of low-level semantic information is obtained through an edge information optimization module, and intra-layer and inter-layer high-level graph semantic information of multiple feature layers is extracted through boundary information supervision graph convolution flow. The method comprises the following steps: performing classification prediction by using an obtained advanced feature layer, and sparsely expressing a target area; then, multi-layer advanced information extracted by image convolution flow is split