Method and apparatus for surround view monitor-based parking assistance using a machine learning model

An apparatus for performing a surround view monitor (SVM)-based parking assistance by utilizing a machine learning model, the apparatus comprising:

• at least one memory configured to store instructions;
• and
• at least one processor configured, by executing the instructions, to:
• acquire a vehicle surrounding image by using a plurality of cameras;
• detect feature points of an edge and a corner of a parking space based on the vehicle surrounding image by using the machine learning model;
• calculate a distance between the feature points by using the machine learning model;
• estimate at least one of a location, a length, or a width of the parking space by using the machine learning model;
• provide the vehicle surrounding image and visual information on a display of a vehicle;
• determine whether parking in the parking space is possible;
• and
• perform autonomous parking based on a result of whether parking in the parking space is possible.