US 12,222,211 B2
Information processing apparatus, method, and non-transitory storage medium
Atsushi Okubo, Nisshin (JP); Kento Nitta, Tokyo (JP); Takaaki Kato, Saitama (JP); Daiki Kaneichi, Tokyo (JP); and Minoru Nakadori, Toyota (JP)
Assigned to TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota (JP)
Filed by TOYOTA JIDOSHA KABUSHIKI KAISHA, Toyota (JP)
Filed on Apr. 5, 2022, as Appl. No. 17/658,033.
Claims priority of application No. 2021-069301 (JP), filed on Apr. 15, 2021.
Prior Publication US 2022/0333941 A1, Oct. 20, 2022
Int. Cl. G01C 21/34 (2006.01); G06Q 10/02 (2012.01); G07C 5/08 (2006.01); B60S 3/00 (2006.01)
CPC G01C 21/3476 (2013.01) [G06Q 10/02 (2013.01); G07C 5/0808 (2013.01); B60S 3/00 (2013.01)] 11 Claims
OG exemplary drawing
 
1. An information processing apparatus comprising:
a communication interface; and
one or more processors configured to
when determining that a degree of dirt of a vehicle exceeds a predetermined first threshold value, select at least one vehicle washing facility from among a plurality of vehicle washing facilities, based on an attribute of a user of the vehicle, and
notify the user of guidance information for guiding the user to the selected vehicle washing facility via the communication interface, wherein:
the predetermined first threshold value is determined in advance for each of a plurality of destinations; and
the one or more processors are configured to
specify a future destination of the user from an application that enables creation of a schedule using the Internet, and
determine the degree of the dirt of the vehicle using the predetermined first threshold value corresponding to the specified future destination;
wherein the plurality of vehicle washing facilities offer a plurality of vehicle washing courses,
a vehicle washing time of each of the vehicle washing courses and a degree of dirt that each of the vehicle washing courses is able to deal with are determined in advance, and the one or more processors are configured to:
acquire an end time of vehicle washing desired by the user;
select the vehicle washing facility that is able to provide a vehicle washing course that is able to deal with the dirt of the vehicle and that ends vehicle washing by the end time, from among the vehicle washing courses; and
execute machine learning on whether to notify the guidance information before or after a time of execution of a future going-outside in which the vehicle moves a distance that exceeds a predetermined second threshold value, based on a before-after relationship between a time of execution of a going-outside in which the vehicle moves a distance that exceeds the predetermined second threshold value and a time of execution of vehicle washing within a predetermined period before and after the time of the execution of the going-outside.