Method and system for estimating pedestrian vulnerability using depth information

A pedestrian situation estimation system comprising:

• a memory configured to store computer-readable instructions;
• and
• at least one processor implemented to execute the instructions,
• wherein the at least one processor is configured to execute the instructions to:
• generate pedestrian area information, which is information on an area occupied by a pedestrian appearing in an image of a target zone, based on the image of the target zone;
• apply a semantic segmentation technique to the image of the target zone to generate a segmentation map and extract ground region information, which is information in which a ground region is distinguished, from the segmentation map;
• generate depth information of an object area appearing in the image of the target zone based on the image of the target zone;
• and
• estimate a situation of the pedestrian using a pedestrian situation estimation network based on an artificial neural network, based on the image of the target zone, the pedestrian area information, the segmentation map, the ground region information, and the depth information.