US 12,276,518 B2
Apparatus and methods for providing routes for vehicles using spare tires
Jerome Beaurepaire, Courbevoie (FR); Leon Stenneth, Chicago, IL (US); and Jeremy Michael Young, Chicago, IL (US)
Assigned to HERE GLOBAL B.V., Eindhoven (NL)
Filed by HERE GLOBAL B.V., Eindhoven (NL)
Filed on Dec. 20, 2022, as Appl. No. 18/085,357.
Prior Publication US 2024/0200968 A1, Jun. 20, 2024
Int. Cl. G01C 21/36 (2006.01); G01C 21/34 (2006.01); G06N 20/00 (2019.01)
CPC G01C 21/3691 (2013.01) [G01C 21/3461 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. An apparatus comprising at least one processor and at least one non-transitory memory including computer program code instructions, the computer program code instructions configured to, when executed, cause the apparatus to:
receive training data indicating events in which vehicles used spare tires to traverse routes, the training data indicating attributes of the vehicles and attributes of the routes; and
using the training data, train a machine learning model to generate output data as a function of input data, wherein the input data indicate attributes of a target vehicle using at least one spare tire and attributes of target routes for the target vehicle, and wherein the output data indicate a subset of the target routes of which the target vehicle can successfully traverse while using the at least one spare tire;
receive the input data;
cause the machine learning model to generate the output data as a function of the input data; and
cause a user interface associated with the target vehicle to provide the subset to a user of the target vehicle.
 
7. A non-transitory computer-readable storage medium having computer program code instructions stored therein, the computer program code instructions, when executed by at least one processor, cause the at least one processor to:
receive input data indicating attributes of a target vehicle using at least one spare tire and attributes of target routes for the target vehicle;
cause a machine learning model to generate output data as a function of the input data,
wherein the output data indicate a subset of the target routes of which the target vehicle can successfully traverse while using the at least one spare tire,
wherein the machine learning model is trained to generate the output data as a function of the input data based on training data, and
wherein the training data indicate events in which vehicles used spare tires to traverse routes, the training data indicating attributes of the vehicles and attributes of the routes; and
cause a user interface associated with the target vehicle to provide the subset to a user of the target vehicle.
 
16. A method of providing route recommendations for a target vehicle using at least one spare tire, the method comprising:
receiving input data indicating attributes of the target vehicle and attributes of target routes for the target vehicle;
causing a machine learning model to generate output data as a function of the input data,
wherein the output data indicate a subset of the target routes of which the target vehicle can successfully traverse while using the at least one spare tire,
wherein the machine learning model is trained to generate the output data as a function of the input data based on training data, and
wherein the training data indicate events in which vehicles used spare tires to traverse routes, the training data indicating attributes of the vehicles and attributes of the routes; and
causing a user interface associated with the target vehicle to provide the subset to a user of the target vehicle.