Artificial intelligence apparatus for controlling auto stop system based on driving information and method for the same

A control method for controlling an auto stop function, comprising:

• acquiring, via a processor, driving information comprising brake information and velocity information through an input unit receiving the brake information and the velocity information;
• acquiring, via the processor, base data used for determining a control of the auto stop function from the driving information;
• determining, via the processor, a control mode for the auto stop function by using the base data and a control model for the auto stop function;
• and
• controlling, via the processor, the auto stop function according to the determined control mode,
• wherein the control mode is one of an activation mode which activates the auto stop function or a deactivation mode which deactivates the auto stop function, wherein the control model for the auto stop function is trained through an external learning device for an artificial neural network or a learning processor that performs training of the artificial neural network, and
• the control model for the auto stop function is a personalization model that is trained separately for each vehicle or for each user.

A non-transitory computer-readable recording medium in which a computer program for performing a control method for controlling an auto stop function is recorded, wherein the control method comprises:

• acquiring, via a processor, driving information comprising brake information and velocity information through an input unit receiving the brake information and the velocity information;
• acquiring, via the processor, base data used for determining a control of the auto stop function from the driving information;
• determining, via the processor, a control mode for the auto stop function by using the base data and a control model for the auto stop function;
• and
• controlling, via the processor, the auto stop function according to the determined control mode,
• wherein the control mode is one of an activation mode which activates the auto stop function or a deactivation mode which deactivates the auto stop function, wherein the control model for the auto stop function is trained through an external learning device for an artificial neural network or a learning processor that performs training of the artificial neural network, and
• the control model for the auto stop function is a personalization model that is trained separately for each vehicle or for each user.