Deep learning-based parking slot detection method and apparatus integrating global and local information

摘要

The present invention discloses a method and apparatus for detecting a parking area based on deep learning through integration of global information and local information. According to the present invention, a processor; and a memory connected to the processor, wherein the memory is divided into a plurality of cells, receives an around-view monitor image for a parking space including one or more parking sections, and a feature map of the image divided into the plurality of cells extracting , and calculating global information and regional information for one or more parking sections from the extracted feature map, wherein the global information includes one of information about the entrance, type, and occupancy of the one or more parking sections, The local information includes at least one of a position and a direction of a junction pair constituting an entrance of the one or more parking sections-, integrating the calculated global information and local information to detect an unoccupied parking section, the processor There is provided a parking section detection device that stores program instructions executable by the