Machine learning for personalized driving

  • US 10,286,915 B2
  • Filed: 01/17/2017
  • Issued: 05/14/2019
  • Est. Priority Date: 01/17/2017
  • Status: Active Grant
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First Claim
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1. An automated vehicle control system, comprising:

  • a plurality of sensors that collect sensor information when a driver is driving a vehicle manually, the collected sensor information including information associated with one or more manual driving actions provided by the driver during a drive;

    a personalized driving unit that determines first context information from the sensor information and conditions associated with the vehicle at a time when the one or more manual driving actions are provided by the driver during the drive, wherein the conditions include information for vehicle settings other than settings associated with the one or more manual driving actions provided by the driver during the drive; and

    an autonomous driving planning unit that is programmed to;

    based on the first context information, generate first personalization information, the first personalization information mapping a first observed driver behavior to the one or more manual driving actions and the conditions, the first observed driver behavior corresponding to one or more automated driving actions that produce a vehicle behavior similar to the one or more manual driving actions when at least one condition of the conditions is detected by the plurality of sensors; and

    when the vehicle is in a high or full automation level, detects an event associated with the first personalization information, wherein the event includes the at least one condition of the conditions and, in response, causes the vehicle to perform autonomously the one or more automated driving actions.

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