Crowd-sourced vehicle setting recommendations

Driver vehicle setting data 350, is obtained from a plurality of vehicles 305, a vehicle model is identified and a vehicle setting recommendation 375 is generated for the identified vehicle 330 based on the driver vehicle setting data. The data may be crowd-sourced from multiple users in an anonymou...

Full description

Saved in:
Bibliographic Details
Main Authors Patrick Brady, Andrew Scott Brenner, Joseph M Onorato, Daniel Holle
Format Patent
LanguageEnglish
Published 29.11.2017
Subjects
CALCULATING
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PERFORMING OPERATIONS
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
TRANSPORTING
VEHICLES IN GENERAL
VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISEPROVIDED FOR
Online AccessGet full text

Cover

More Information
Summary:Driver vehicle setting data 350, is obtained from a plurality of vehicles 305, a vehicle model is identified and a vehicle setting recommendation 375 is generated for the identified vehicle 330 based on the driver vehicle setting data. The data may be crowd-sourced from multiple users in an anonymous manner, such as via a social network server 315 or from a manufacturer 301. The data values can be processed using machine learning to generate and transmit vehicle setting recommendations to other users, such as via a users mobile device 325. The recommendations may be for vehicle settings that the user has not yet activated or vehicle setting values that are frequently used for a particular vehicle. The settings may include a car seat position, mirror positions, steering wheel positions, heating or ventilation settings, lighting preferences or safety settings.
Bibliography:Application Number: GB20170006603