Arranging passenger pickups for autonomous vehicles

US10401858B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-10401858-B2
Application numberUS-201715689283-A
CountryUS
Kind codeB2
Filing dateAug 29, 2017
Priority dateAug 29, 2017
Publication dateSep 3, 2019
Grant dateSep 3, 2019

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  1. Title

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  2. Abstract

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  3. Assignees and inventors

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  4. Key dates

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  5. First independent claim

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  6. CPC / IPC classifications

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  7. Citations and related patents

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Abstract

Official abstract text for this publication.

Aspects of the disclosure relate to arranging a pick up and drop off locations between a driverless vehicle and a passenger. As an example, a method of doing so may include receiving a request for a vehicle from a client computing device, wherein the request identifies a first location. Pre-stored map information and the first location are used to identify a recommended point according to a set of heuristics. Each heuristic of the set of heuristics has a ranking such that the recommended point corresponds to a location that satisfies at least one of the heuristics having a first rank and such that no other location satisfies any other heuristic of the set of heuristics having a higher rank than the first rank. The pre-stored map information identifying a plurality of pre-determined locations for the vehicle to stop, and the recommended point is one of the plurality of pre-determined locations. The recommended point is then provided the client computing device for display on a display of the client computing device with a map.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method comprising: receiving, by one or more processors, a request for a vehicle from a client computing device, wherein the request identifies a first location; using, by the one or more processors, pre-stored map information and the first location to identify a recommended point according to a set of heuristics, wherein each heuristic of the set of heuristics has a ranking such that the recommended point corresponds to a location that satisfies at least one of the heuristics having a first rank and such that no other location satisfies any other heuristic of the set of heuristics having a higher rank than the first rank, the pre-stored map information identifying a plurality of pre-determined locations for the vehicle to stop, and wherein the recommended point is one of the plurality of pre-determined locations; and providing, by the one or more processors, the recommended point to the client computing device for display on a display of the client computing device with a map. 2. The method of claim 1 , wherein the at least one heuristic corresponds to the recommended point being (1) a previously identified user-preferred location included in a trip history for a user associated with the client computing device and (2) within a predetermined walking distance of the first location. 3. The method of claim 1 , wherein the at least one heuristic corresponds to the recommended point being (1) a previous location at which a user associated with the client computing device was picked up or dropped off and (2) included in a trip history for the user and the previous location being within a predetermined walking distance of the first location. 4. The method of claim 1 , wherein the at least one heuristic corresponds to the recommended point being (1) a predesignated preferred pullover spot for the vehicle according to the map information and (2) within a predetermined walking distance of the first location, and the map information identifies a plurality of predesignated preferred pullover spots for the vehicle. 5. The method of claim 1 , wherein the at least one heuristic corresponds to the recommended point being (1) a predesignated preferred pullover spot for the vehicle according to the map information and (2) within a predetermined walking distance of the first location. 6. The method of claim 1 , wherein the at least one heuristic corresponds to the recommended point being (1) within a predetermined distance of a known entrance of a building according to the map information and (2) the first location is within a building outline of the map information. 7. The method of claim 1 , wherein the at least one heuristic corresponds to the recommended point being (1) within a predetermined distance of a handicapped parking spot according to the map information and (2) within a predetermined walking distance of the first location. 8. The method of claim 1 , wherein the at least one heuristic corresponds to the recommended point being within a predetermined distance of a location of a street address corresponding to the first location when (1) the first location is a GPS location of the client computing device and (2) the GPS location corresponds to a residential area identified in the map information. 9. The method of claim 1 , wherein the at least one heuristic corresponds to the recommended point being a closest predetermined stopping location to the first location according to the map information identifying a plurality of predetermined stopping locations for the vehicle to pull over. 10. The method of claim 1 , further comprising: receiving a current location of the client computing device; determining a walkable path between the current location and the recommended point using the map information; and providing the walkable path for display on the map with the recommended point. 11. The method of claim 1 , wherein the map information identifies a set of predetermined locations for the vehicle to stop, and the method further comprising: identifying a subset of the plurality of pre-determined locations that are within a predetermined radial distance of the first location; and providing the subset for display on the map when a user pans on the map. 12. The method of claim 11 , further comprising: receiving a request for additional pre-determined locations for a new location; identifying a second subset of the plurality of pre-determined locations that are within a predetermined radial distance of the new location; and providing the second subset for display on the map when a user pans on the map. 13. The method of claim 1 , wherein the map information identifies a set of predetermined locations for the vehicle to stop, and the method further comprising: receiving a current location of the client computing device; identifying a subset of the plurality of pre-determined locations that are within a predetermined radial distance of the current location; and providing the subset for display on the map when a user pans on the map. 14. The method of claim 13 , further comprising: receiving a request for additional pre-determined locations for a new location; identifying a second subset of the plurality of pre-determined locations that are within a predetermined radial distance of the new location; and providing the second subset for display on the map when a user pans on the map. 15. The method of claim 1 , further comprising: receiving a confirmation message identifying the first location; and dispatching a vehicle to pick up or drop off a passenger at the first location. 16. A system comprising including one or more server computing devices having one or more processors configured to: receive a request for a vehicle from a client computing device, wherein the request identifies a first location; use pre-stored map information and the first location to identify a recommended point according to a set of heuristics, wherein each heuristic of the set of heuristics has a ranking such that the recommended point corresponds to a location that satisfies at least one of the heuristics having a first rank and such that no other location satisfies any other heuristic of the set of heuristics having a higher rank than the first rank, the pre-stored map information identifying a plurality of pre-determined locations for the vehicle to stop, and wherein the recommended point is one of the plurality of pre-determined locations; and provide the recommended point to the client computing device for display on a display of the client computing device with a map. 17. The system of claim 16 , wherein the at least one heuristic corresponds to the recommended point being (1) a previously identified user-preferred location included in a trip history for a user associated with the client computing device and (2) within a predetermined walking distance of the first location. 18. The system of claim 16 , wherein the at least one heuristic corresponds to the recommended point being (1) a previous location at which a user associated with the client computing device was picked up or dropped off and (2) included in a trip history for the user and the previous location being within a predetermined walking distance of the first location. 19. The system of claim 16 , wherein the at least one heuristic corresponds to the recommended point being (1) a predesignated preferred pullover spot for the vehicle according to the map information and (2) within a predetermined walking distance of the first location, and the map information ide

Assignees

Inventors

Classifications

  • Dispatching vehicles on the basis of a location, e.g. taxi dispatching · CPC title

  • G06Q10/025Primary

    Coordination of plural reservations, e.g. plural trip segments, transportation combined with accommodation · CPC title

  • G05D1/0088Primary

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

  • Physics · mapped topic

  • Physics · mapped topic

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Frequently asked questions

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What does patent US10401858B2 cover?
Aspects of the disclosure relate to arranging a pick up and drop off locations between a driverless vehicle and a passenger. As an example, a method of doing so may include receiving a request for a vehicle from a client computing device, wherein the request identifies a first location. Pre-stored map information and the first location are used to identify a recommended point according to a set…
Who is the assignee on this patent?
Waymo Llc
What technology area does this patent fall under?
Primary CPC classification G06Q10/025. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Sep 03 2019 00:00:00 GMT+0000 (Coordinated Universal Time) (B2). Legal status and post-grant events are not shown on this page.
What related patents are in patentsdb?
We list 3 related publications on this page (citations in our corpus or others sharing the same primary CPC).