Systems and methods for matching an autonomous vehicle to a rider

Patent metadata

Field	Value
Publication number	US-11747808-B2
Application number	US-202117204588-A
Country	US
Kind code	B2
Filing date	Mar 17, 2021
Priority date	Sep 28, 2017
Publication date	Sep 5, 2023
Grant date	Sep 5, 2023

Abstract

Systems and methods are directed to matching an available vehicle to a rider requesting a service. In one example, a computer-implemented method includes obtaining, by a computing system comprising one or more computing devices, a service request from a rider. The method further includes obtaining, by the computing system, data indicative of a current location of the rider; and determining that the current location of the rider is within proximity of an autonomous vehicle queuing location. The method further includes providing, by the computing system, data to the rider to provide for selection of an available autonomous vehicle at the autonomous vehicle queuing location. The method further includes obtaining, by the computing system, rider authentication data upon a selection of an autonomous vehicle by the rider; and, in response to obtaining rider authentication data, matching an autonomous vehicle selected by the rider to provide for performance of the service request.

First claim

What is claimed is:

1. A computer-implemented method for matching an autonomous vehicle to a rider comprising:
obtaining, by a computing system comprising one or more computing devices, a service request from the rider, wherein the service request is indicative of a requested vehicle type;
obtaining, by the computing system, data indicative of a current location of the rider;
providing, by the computing system, data indicative of a number of autonomous vehicles for the rider based, at least in part, on the service request and the current location of the rider;
determining, by the computing system, that the rider has selected the autonomous vehicle from the number of autonomous vehicles, the determining being based, at least in part, on a proximity of the rider to the autonomous vehicle, and a vehicle type of the autonomous vehicle, wherein the vehicle type of the autonomous vehicle corresponds to the requested vehicle type; and
in response to the selection of the autonomous vehicle by the rider, matching, by the computing system, the autonomous vehicle to the rider to provide for performance of the service request for the rider.

2. The computer-implemented method of claim 1 , wherein matching the autonomous vehicle to the rider to provide for performance of the service request for the rider further comprises:
providing, by the computing system, service request data associated with the service request of the rider to the autonomous vehicle.

3. The computer-implemented method of claim 1 , wherein determining the selection of the autonomous vehicle comprises using wireless radio communication to determine the proximity of the rider to the autonomous vehicle; and
determining that the proximity is within a defined proximity of the autonomous vehicle.

4. The computer-implemented method of claim 1 , wherein the number of autonomous vehicles comprise multiple vehicles of different vehicle types, wherein each vehicle type is indicative of a vehicle size or a vehicle capacity.

5. The computer-implemented method of claim 4 , wherein each respective vehicle type is associated with a corresponding accessibility to a respective autonomous vehicle of the respective vehicle type.

6. The computer-implemented method of claim 1 , wherein the number of autonomous vehicles comprise multiple vehicles of different vehicle types, wherein each vehicle type is indicative of a ground-based autonomous vehicle, an air-based autonomous vehicle, or a watercraft vehicle.

7. The computer-implemented method of claim 1 , wherein the data indicative of the number of autonomous vehicles for the rider comprises an indication of at least one autonomous vehicle of the requested vehicle type.

8. The computer-implemented method of claim 1 , wherein each of the number of autonomous vehicles can be configured to communicate an available autonomous vehicle status via one or more indicators located on the autonomous vehicle.

9. The computer-implemented method of claim 8 , wherein the one or more indicators located on the autonomous vehicle comprise one or more lights, and wherein the autonomous vehicle is configured to change a color of the one or more lights to display the available autonomous vehicle status.

10. A computing system comprising:
one or more processors; and
one or more memories including instructions that, when executed by the one or more processors, cause the one or more processors to perform operations, the operations comprising:
obtaining a service request from a rider, wherein the service request is indicative of a requested vehicle type;
obtaining data indicative of a current location of the rider;
providing data indicative of a number of autonomous vehicles for the rider based, at least in part, on the service request and the current location of the rider;
determining that the rider has selected an autonomous vehicle from the number of autonomous vehicles, the determining being based, at least in part, on a proximity of the rider to the autonomous vehicle and a vehicle type of the autonomous vehicle, wherein the vehicle type of the autonomous vehicle corresponds to the requested vehicle type; and
in response to the selection of the autonomous vehicle by the rider, matching the autonomous vehicle to the rider to provide for performance of the service request for the rider.

11. The computing system of claim 10 , wherein matching the autonomous vehicle to the rider to provide for performance of the service request for the rider further comprises:
providing service request data associated with the service request of the rider to the autonomous vehicle.

12. The computing system of claim 10 , wherein determining the selection of the autonomous vehicle comprises using wireless radio communication to determine the proximity of the rider to the autonomous vehicle; and
determining that the proximity is within a defined proximity of the autonomous vehicle.

13. The computing system of claim 10 , wherein the operations further comprise controlling the autonomous vehicle to communicate an available autonomous vehicle status via one or more indicators located on the autonomous vehicle.

14. The computing system of claim 13 , wherein the one or more indicators located on the autonomous vehicle comprise one or more lights, and wherein the autonomous vehicle is configured to change a color of the one or more lights to display the available autonomous vehicle status.

15. The computing system of claim 13 , wherein the available autonomous vehicle status is indicative of an available capacity of the autonomous vehicle.

16. The computing system of claim 10 , wherein the data indicative of the number of autonomous vehicles for the rider comprises an indication of at least one autonomous vehicle of the requested vehicle type.

17. One or more tangible, non-transitory computer-readable media storing computer-readable instructions that when executed by one or more processors cause the one or more processors to perform operations, the operations comprising:
obtaining a service request from a rider, wherein the service request is indicative of a requested vehicle type;
obtaining data indicative of a current location of the rider;
providing data indicative of a number of autonomous vehicles for the rider based, at least in part, on the service request and the current location of the rider;
determining that the rider has selected an autonomous vehicle from the number of autonomous vehicles, the determining being based, at least in part, on a proximity of the rider to the autonomous vehicle and a vehicle type of the autonomous vehicle, wherein the vehicle type of the autonomous vehicle corresponds to the requested vehicle type; and
in response to the selection of the autonomous vehicle by the rider, matching the autonomous vehicle to the rider to provide for performance of the service request for the rider.

18. The one or more tangible, non-transitory computer-readable media of claim 17 , wherein matching the autonomous vehicle to the rider to provide for performance of the service request for the rider further comprises:
providing service request data associated with the service request of the rider to the autonomous vehicle.

19. The one or more tangible, non-transitory computer-readable media of claim 17 , wherein determining the selection of the autonomous vehicle comprises using wireless radio communication to determine the proximity of the rider to the autonomous vehicle; and
determining that the proximity is within a defined proximity of the autonomous vehicle.

Assignees

• Uber Technologies Inc

Inventors

• Nix Molly Castle
• Chin Sean
• Hanson Eric J
• Donnelly Richard Brian
• Zhao dennis

Classifications

• G06Q50/40

  Business processes related to the transportation industry (shipping G06Q10/083) · CPC title

• H04W12/64 Primary

  using geofenced areas · CPC title

• G05D1/0088 Primary

  characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours (using knowledge based models G06N5/00) · CPC title

• G06Q10/02

  Reservations, e.g. for tickets, services or events · CPC title

• G06Q50/30

  Physics · mapped topic