Driving profiles for autonomous vehicles

• US 10,417,910 B2
• Filed: 03/02/2015
• Issued: 09/17/2019
• Est. Priority Date: 03/03/2014
• Status: Active Grant

• Current Assignee: Inrix Incorporated
• Original Assignee: Inrix Incorporated
• Inventors: Scofield, Christopher L., Sedlik, Scott
• Primary Examiner(s): Edwards, Jerrah
• Application Number:
  US15/122,704
• Publication Number:
  US 20170068245A1
• Time in Patent Office: 1,660 Days
• CPC Class Codes: A61B 5/02055 Simultaneously evaluating both cardiovascular condition and temperature
• CPC Class Codes: A61B 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0531 Measuring skin impedance
• CPC Class Codes: A61B 5/4845 Toxicology, e.g. by detection of alcohol, drug or toxic products A61B5/4848 takes precedence
• CPC Class Codes: B60R 16/0236 for economical driving
• CPC Class Codes: B60W 2040/0809 Driver authorisation; Driver identity check
• CPC Class Codes: B60W 2040/0872 Driver physiology
• CPC Class Codes: B60W 2050/0075 Automatic parameter input, automatic initialising or calibrating means
• CPC Class Codes: B60W 2540/22 Psychological state; Stress level or workload
• CPC Class Codes: B60W 2552/00 Input parameters relating to infrastructure
• CPC Class Codes: B60W 2554/00 Input parameters relating to objects
• CPC Class Codes: B60W 2555/20 Ambient conditions, e.g. wind or rain
• CPC Class Codes: B60W 2556/10 Historical data
• CPC Class Codes: B60W 2710/1044 Output speed change rate
• CPC Class Codes: B60W 2710/18 Braking system
• CPC Class Codes: B60W 2720/10 Longitudinal speed
• CPC Class Codes: B60W 30/143 Speed control B60W30/16 takes precedence
• CPC Class Codes: B60W 40/04 Traffic conditions
• CPC Class Codes: B60W 40/08 related to drivers or passengers
• CPC Class Codes: B60W 40/09 Driving style or behaviour
• CPC Class Codes: B64U 2101/30 : for imaging, photography or videography
• CPC Class Codes: G01C 21/3415 : Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
• CPC Class Codes: G01C 21/3469 : Fuel consumption; Energy use; Emission aspects
• CPC Class Codes: G01C 21/3608 : using speech input, e.g. using speech recognition
• CPC Class Codes: G01C 21/3617 : using user history, behaviour, conditions or preferences, e.g. predicted or inferred from previous use or current movement
• CPC Class Codes: G01C 21/3655 : Timing of guidance instructions
• CPC Class Codes: G01C 21/3667 : Display of a road map G01C21/3614 takes precedence; guidance using 3D or perspective road maps G01C21/3635
• CPC Class Codes: G01C 21/3682 : output of POI information on a road map G01C21/3614, G01C21/3685 take precedence
• CPC Class Codes: G05D 1/0011 : associated with a remote control arrangement
• CPC Class Codes: G06F 16/29 : Geographical information databases
• CPC Class Codes: G06N 20/00 : Machine learning
• CPC Class Codes: G06Q 20/102 : Bill distribution or payments
• CPC Class Codes: G06Q 2240/00 : Transportation facility access, e.g. fares, tolls or parking
• CPC Class Codes: G06Q 30/0283 : Price estimation or determination
• CPC Class Codes: G06Q 40/08 : Insurance
• CPC Class Codes: G06Q 50/40 : Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G07B 15/00 : Arrangements or apparatus for collecting fares, tolls or entrance fees at one or more control points handling coins or valuable papers, e.g. banknotes, G07D; apparatus for vending or hiring articles or services activated by coins, credit cards, paper currency or the like G07F7/00, G07F17/00
• CPC Class Codes: G07B 15/063 : using wireless information transmission between the vehicle and a fixed station identification of vehicles G08G
• CPC Class Codes: G07C 5/008 : communicating information to a remotely located station transmission systems for measured values G08C
• CPC Class Codes: G08G 1/00 : Traffic control systems for road vehicles arrangement of road signs or traffic signals E01F9/00 ; automatic vehicle control B62D
• CPC Class Codes: G08G 1/0112 : from the vehicle, e.g. floating car data [FCD]
• CPC Class Codes: G08G 1/012 : from other sources than vehicle or roadside beacons, e.g. mobile networks
• CPC Class Codes: G08G 1/0129 : for creating historical data or processing based on historical data
• CPC Class Codes: G08G 1/0133 : for classifying traffic situation
• CPC Class Codes: G08G 1/0141 : for traffic information dissemination
• CPC Class Codes: G08G 1/0145 : for active traffic flow control
• CPC Class Codes: G08G 1/065 : by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
• CPC Class Codes: G08G 1/07 : Controlling traffic signals
• CPC Class Codes: G08G 1/093 : Data selection, e.g. prioritizing information, managing message queues, selecting the information to be output
• CPC Class Codes: G08G 1/0962 : having an indicator mounted inside the vehicle, e.g. giving voice messages
• CPC Class Codes: G08G 1/0965 : responding to signals from another vehicle, e.g. emergency vehicle
• CPC Class Codes: G08G 1/0967 : Systems involving transmission of highway information, e.g. weather, speed limits transmission of navigation instructions to the vehicle G08G1/0968
• CPC Class Codes: G08G 1/096725 : where the received information generates an automatic action on the vehicle control
• CPC Class Codes: G08G 1/096741 : where the source of the transmitted information selects which information to transmit to each vehicle
• CPC Class Codes: G08G 1/096775 : where the origin of the information is a central station
• CPC Class Codes: G08G 1/096791 : where the origin of the information is another vehicle
• CPC Class Codes: G08G 1/096811 : where the route is computed offboard
• CPC Class Codes: G08G 1/096822 : where the segments of the route are transmitted to the vehicle at different locations and times
• CPC Class Codes: G08G 1/096838 : where the user preferences are taken into account or the user selects one route out of a plurality
• CPC Class Codes: G08G 1/097 : Supervising of traffic control systems, e.g. by giving an alarm if two crossing streets have green light simultaneously
• CPC Class Codes: H04B 1/3822 : specially adapted for use in vehicles H04B1/3827 takes precedence
• CPC Class Codes: H04B 7/18504 : Aircraft used as relay or high altitude atmospheric platform
• CPC Class Codes: H04L 67/02 : based on web technology, e.g. hypertext transfer protocol [HTTP]
• CPC Class Codes: H04L 67/306 : User profiles
• CPC Class Codes: H04L 9/3247 : involving digital signatures
• CPC Class Codes: H04M 15/60 : based on actual use of network resources
• CPC Class Codes: H04W 12/08 : Access security
• CPC Class Codes: H04W 4/024 : Guidance services
• CPC Class Codes: H04W 4/029 : Location-based management or tracking services
• CPC Class Codes: H04W 4/40 : for vehicles, e.g. vehicle-to-pedestrians [V2P]
• CPC Class Codes: H04W 4/42 : for mass transport vehicles, e.g. buses, trains or aircraft
• CPC Class Codes: H04W 4/48 : for in-vehicle communication
• CPC Class Codes: H04W 4/50 : Service provisioning or reconfiguring

Abstract

One or more techniques and/or systems are provided for operating an autonomous vehicle based upon a driving preference. For example, a driving profile, comprising a driving preference (e.g., a speed preference, a route preference, etc.) of a user, may be provided to an automated driving component of the autonomous vehicle. An operational parameter for the autonomous vehicle may be generated based upon the driving preference of the user. The autonomous vehicle may be operated based upon the operational parameter. In an example, a condition of the user traveling in the autonomous vehicle may be determined, and the operational parameter for the autonomous vehicle may be adjusted based upon the condition of the user not corresponding to the driving preference.

Claims

1. A method for operating an autonomous vehicle, comprising:

providing a driving preference for a user to an automated driving component, implemented via a processor, of an autonomous vehicle;

generating an operational parameter for the autonomous vehicle based upon the driving preference;

operating the autonomous vehicle based upon the operational parameter;

determining a condition of the user traveling in the autonomous vehicle based upon biometric data corresponding to the user while the autonomous vehicle is travelling; and

responsive to the condition of the user not corresponding to the driving preference, adjusting the operational parameter for the autonomous vehicle.

2. The method of claim 1, the providing the driving preference comprising:

creating a communication connection to a remote preference provider; and

obtaining the driving preference, through the communication connection, from the remote preference provider.

3. The method of claim 2, the remote preference provider hosted on at least one of a cloud-based server or a mobile device of the user.

4. The method of claim 1, the driving preference comprising an aesthetic route preference, wherein the generating the operational parameter for the autonomous vehicle based upon the driving preference comprises generating the operational parameter for the autonomous vehicle based upon the aesthetic route preference.

5. The method of claim 1, the driving preference comprising a safe route preference, wherein the generating the operational parameter for the autonomous vehicle based upon the driving preference comprises generating the operational parameter for the autonomous vehicle based upon the safe route preference.

6. The method of claim 1, the biometric data comprising at least one of heartrate data, body temperature data, skin conductance data, voice stress level data, brainwave data, or blood alcohol level data.

7. The method of claim 1, comprising:

generating a route to a destination based upon the driving preference, wherein the operating the autonomous vehicle based upon the operational parameter comprises operating the autonomous vehicle to travel the route based upon the operational parameter.

8. The method of claim 7, comprising:

responsive to the condition of the user not corresponding to the driving preference, generating an adjusted route to the destination based upon the driving preference; and

operating the autonomous vehicle to travel the adjusted route.

9. The method of claim 1, comprising:

identifying that the user has entered a second autonomous vehicle;

providing the driving preference to a second automated driving component, implemented via a second processor, of the second autonomous vehicle;

generating a second operational parameter for the second autonomous vehicle based upon the driving preference; and

operating the second autonomous vehicle based upon the second operational parameter.

10. The method of claim 1, the providing the driving preference comprising:

selecting a driving profile comprising the driving preference; and

evaluating the driving profile to identify the driving preference.

11. The method of claim 10, comprising:

identifying a second driving preference from the driving profile; and

generating a set of operational parameters based upon the driving preference and the second driving preference, wherein the set of operational parameters comprises the operational parameter and the operating the autonomous vehicle based upon the operational parameter comprises operating the autonomous vehicle based upon the set of operational parameters.

12. The method of claim 11, comprising:

determining a priority value for operational parameters within the set of operational parameters; and

ranking the operational parameters within the set of operational parameters based upon the priority values to generate a ranked set of operational parameters, wherein the operating the autonomous vehicle based upon the set of operational parameters comprises operating the autonomous vehicle based upon the ranked set of operational parameters.

13. The method of claim 1, the driving preference comprising a traffic control device preference, wherein the generating the operational parameter for the autonomous vehicle based upon the driving preference comprises generating the operational parameter for the autonomous vehicle based upon the traffic control device preference.

14. The method of claim 1, comprising:

selecting a cautious driving profile, wherein;

the providing the driving preference comprises evaluating the cautious driving profile to identify a tailgating preference, the tailgating preference corresponding to the driving preference,

the generating the operational parameter for the autonomous vehicle based upon the driving preference comprises generating an operational tailgate distance parameter for the autonomous vehicle based upon the tailgating preference, the operational tailgate distance parameter corresponding to the operational parameter, and

the operating the autonomous vehicle based upon the operational parameter comprises operating the autonomous vehicle based upon the operational tailgating distance parameter to maintain a tailgating distance.

15. The method of claim 10, the selecting the driving profile comprising:

accessing at least one of a calendar, an email client, a webpage, a social profile, or a mobile application of the user to identify an event of the user;

identifying event information corresponding to the event; and

evaluating the event information to select the driving profile.

16. The method of claim 1, comprising:

receiving feedback from the user corresponding to the operation of the autonomous vehicle;

evaluating the feedback to determine if the autonomous vehicle is operating in accordance with the driving preference; and

responsive to determining that the autonomous vehicle is not operating in accordance with the driving preference, adjusting the operational parameter for the autonomous vehicle.

17. A computer readable medium comprising instructions which when executed perform a method for operating an autonomous vehicle, comprising:

providing a driving preference for a user to an automated driving component, implemented via a processor, of an autonomous vehicle;

generating an operational parameter for the autonomous vehicle based upon the driving preference;

operating the autonomous vehicle based upon the operational parameter;

monitoring, based upon biometric data corresponding to the user while the autonomous vehicle is travelling, a condition of the user traveling in the autonomous vehicle;

responsive to the condition of the user not corresponding to the driving preference, adjusting the operational parameter for the autonomous vehicle; and

operating the autonomous vehicle based upon the adjusted operational parameter.

18. A system for operating an autonomous vehicle, comprising:

an automated driving component, implemented via a processor, configured to;

providing a driving preference for a user to an automated driving component, implemented via a processor, of an autonomous vehicle;

generating an operational parameter for the autonomous vehicle based upon the driving preference;

operating the autonomous vehicle based upon the operational parameter;

determining a condition of the user traveling in the autonomous vehicle based upon biometric data corresponding to the user while the autonomous vehicle is travelling; and

responsive to the condition of the user not corresponding to the driving preference, adjusting the operational parameter for the autonomous vehicle.

19. The system of claim 18 the automated driving component configured to operating the autonomous vehicle based upon the adjusted operational parameter.

20. The system of claim 18, the biometric data comprising at least one of heartrate data, body temperature data, skin conductance data, voice stress level data, brainwave data, or blood alcohol level data.