SOFTWARE APPLICATION TO REQUEST AND CONTROL AN AUTONOMOUS VEHICLE SERVICE

• US 20170132934A1
• Filed: 11/05/2015
• Published: 05/11/2017
• Est. Priority Date: 11/04/2015
• Status: Active Grant

• Current Assignee: Zoox Inc. (Amazon.com, Inc.)
• Original Assignee: Zoox Inc. (Amazon.com, Inc.)
• Inventors: Kentley, Timothy David, Gamara, Rachad Youssef, Linscott, Gary
• Granted Patent: US 9,754,490 B2
• Time in Patent Office: Days
• CPC Class Codes: G01C 21/34 Route searching; Route guidance
• CPC Class Codes: G05D 1/0088 characterized by the autonomous decision making process, e.g. artificial intelligence, predefined behaviours using knowledge based models G06N5/00
• CPC Class Codes: G06Q 10/02 Reservations, e.g. for tickets, services or events
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 50/40 Business processes related to the transportation industry shipping G06Q10/083
• CPC Class Codes: G06V 20/56 exterior to a vehicle by using sensors mounted on the vehicle
• CPC Class Codes: G06V 20/58 Recognition of moving objects or obstacles, e.g. vehicles or pedestrians; Recognition of traffic objects, e.g. traffic signs, traffic lights or roads
• CPC Class Codes: G08G 1/202 Dispatching vehicles on the basis of a location, e.g. taxi dispatching

Abstract

Various embodiments relate generally to autonomous vehicles and associated mechanical, electrical and electronic hardware, computer software and systems, and wired and wireless network communications to provide an autonomous vehicle fleet as a service. In particular, a method may include receiving, from a user device, a ride request to transport a user to a destination from an origin location through an autonomous vehicle system service. Based on the origin location associated with the request, an autonomous vehicle system may be selected from a fleet of autonomous vehicles to execute the ride request. The fleet may be managed by the autonomous vehicle system service. The ride request may then be provided to the autonomous vehicle system, and information about the autonomous vehicle system may also be provided to the user device.

Claims

1. A method comprising:

receiving, from a user device, a ride request to transport a user to a destination from an origin location through an autonomous vehicle system service;

determining, for each of a plurality of substantially identical autonomous vehicle systems associated with the autonomous vehicle system service, an operational efficiency metric, the operational efficiency metric being based at least in part on at least one of a sensor calibration of one or more sensors of the autonomous vehicle system or a data storage capacity level of the autonomous vehicle system;

determining, based at least in part on the operational efficiency metric and at least in part on the origin location associated with the request, an autonomous vehicle system from the substantially identical autonomous vehicle systems;

controlling the autonomous vehicle system to proceed to the origin location; and

providing information about the autonomous vehicle system to the user device.

2. The method of claim 1, wherein the ride request is initiated through a mobile application operating on the user device.

3. The method of claim 1, wherein the determining the autonomous vehicle system comprises:

determining a user demand associated with the autonomous vehicle systems; and

based at least in part on the user demand, determining the autonomous vehicle system.

4. The method of claim 1, wherein the operational efficiency metric is based at least in part on a power level of the autonomous vehicle system.

5. The method of claim 1, further comprising:

determining a traffic pattern associated with the autonomous vehicle systems; and

;

based at least in part on the traffic pattern, determining the autonomous vehicle system.

6. The method of claim 1, wherein providing the ride request to the autonomous vehicle system further comprises:

determining a plurality of trajectories based on a pose of the autonomous vehicle system, each of the plurality of trajectories comprising a trajectory for traversing along a path from the origin location to the destination and the plurality of trajectories being determined substantially simultaneously;

selecting a trajectory from the plurality of trajectories; and

providing an instruction to the autonomous vehicle system to execute the trajectory.

7. The method of claim 1, wherein providing the ride request to the autonomous vehicle system further comprises:

determining a plurality of trajectories based on a pose of the autonomous vehicle system, each of the plurality of trajectories comprising a trajectory for traversing along a path from the origin location to the destination and the plurality of trajectories being determined substantially simultaneously; and

providing the plurality of trajectories to the autonomous vehicle.

8. The method of claim 1, wherein providing information about the autonomous vehicle system to the user device further comprises:

providing a geographic location of the autonomous vehicle system to the user device based on pose information sensed at the autonomous vehicle system.

9. The method of claim 1, wherein providing information about the autonomous vehicle system to the user device further comprises:

providing an estimated time of arrival associated with the autonomous vehicle system to the user device, the estimated time of arrival being determined based at least in part on pose information provided by the autonomous vehicle system and traffic conditions.

10. The method of claim 1, further comprising:

receiving, from the user device, a reroute request to transport the user to a different destination, the reroute request being received after the autonomous vehicle system initiates a ride;

determining, at a time subsequent to receiving the reroute request, a plurality of different trajectories for traversing along a path from a current location to the different destination, each of the plurality of trajectories being calculated substantially simultaneously, at the time; and

providing the one or more different trajectories to the autonomous vehicle system.

11. The method of claim 1, wherein the ride request specifies a future time of arrival.

20. The method of claim 1, wherein the operational efficiency metric comprises information about a time until next scheduled maintenance of the autonomous vehicle system.

12. A method comprising:

rendering, via a mobile application provided on an electronic device, a first user interface;

receiving, at the electronic device, via the first user interface, a request to dispatch an autonomous vehicle to a location;

receiving pose data representing a pose of the autonomous vehicle, the pose data being detected by a plurality of sensors associated with the autonomous vehicle; and

rendering a second user interface comprising a graphical representation of the pose data.

13. The method of claim 12, wherein the first user interface comprises a map, and the location is selected by interacting with the map.

14. The method of claim 12, wherein the second user interface renders the pose associated with the autonomous vehicle together with map data.

15. The method of claim 12, further comprising:

receiving a geographic location of the user device from a location-aware component of the user device; and

upon arrival of the autonomous vehicle at the location, sending the geographic location of the user device to the autonomous vehicle through the mobile application.

16. A method comprising:

receiving, at an autonomous vehicle system comprising a plurality of sensors, an instruction to proceed to a location;

determining from the plurality of sensors a pose of the autonomous vehicle system;

determining, based at least in part on the pose, at a first time, a plurality of trajectories for traversing along a path from a current location to the location, the plurality of trajectories being determined substantially simultaneously at the first time;

determining a confidence level for each of the plurality of trajectories;

based at least in part on the confidence levels, selecting a trajectory from the plurality of trajectories; and

controlling the autonomous vehicle system to traverse along the path according to the selected trajectory.

17. The method of claim 16, wherein the selected trajectory has a confidence level above a threshold confidence level.

18. The method of claim 16, wherein the plurality of trajectories are determined by the autonomous vehicle system based on map data stored at the autonomous vehicle system.

19. The method of claim 16, further comprising:

receiving, with the instruction, a user identifier associated with a user device located proximate the location;

upon arrival at the location, verifying the user device based on the user identifier.

21. The method of claim 16, further comprising:

transmitting the plurality of trajectories and the confidence levels to a teleoperation computing device; and

receiving an indication of the trajectory from the teleoperation computing device.