Classification apparatus, classification method, and program

A classification method comprising:

• integrating a neural network that has been trained to classify a state of a space using information indicating a light projection pattern and information indicating a light reception pattern;
• acquiring information indicating a light projection pattern of light projected into a predetermined space, and outputting the acquired information to a specifying unit;
• and
• acquiring information indicating a light reception pattern of light received from the predetermined space, and outputting the acquired information to the specifying unit, wherein
• in the integrating, a classification result of classifying a state of the predetermined space is output based on the acquired information indicating the light projection pattern and the information indicating the light reception pattern of the received light.

Anon-transitory computer-readable storage medium storing a program, which when read and executed, causes a computer to perform operations comprising:

• integrating a neural network that has been trained to classify a state of a space using information indicating a light projection pattern and information indicating a light reception pattern;
• acquiring information indicating a light projection pattern of light projected into a predetermined space, and outputting the acquired information to a specifying unit;
• and
• acquiring information indicating a light reception pattern of light received from the predetermined space, and outputting the acquired information to the specifying unit, wherein
• the integrating outputs a classification result of classifying a state of the predetermined space based on the acquired information indicating the light projection pattern and the information indicating the light reception pattern of the received light.