Systems and methods for dictating routes for bi-directional vehicles

Patent metadata

Field	Value
Publication number	US-11420650-B2
Application number	US-202016923624-A
Country	US
Kind code	B2
Filing date	Jul 8, 2020
Priority date	Jun 4, 2020
Publication date	Aug 23, 2022
Grant date	Aug 23, 2022

Abstract

Systems and methods for dictating motion for bi-directional vehicles is provided. The method includes obtaining passenger and map data. The passenger data identifies an orientation of a passenger and the map data identifies route attributes for one or more route segments. The method includes determining one or more motion constraints for a bi-directional vehicle and map constraints for a routing the bi-directional vehicle based on the passenger data and the map data. The motion constraints can identify a vehicle orientation with which the bi-directional vehicle can travel. The map constraints can identify one or more route segments restricted from travel by the bi-directional vehicle. The method includes generating a constrained route based on the motion and map constraint(s). The constrained route can include permitted route segments and movements for the bi-directional vehicle. The method can include initiating the motion of the bi-directional vehicle based on the constrained route.

First claim

What is claimed is:

1. A computer-implemented method, the method comprising:
obtaining, by a computing system comprising one or more computing devices, passenger data for at least one passenger of a bidirectional autonomous vehicle, wherein the passenger data is indicative of a passenger orientation associated with the at least one passenger;
obtaining, by the computing system, map data indicative of one or more route attributes for one or more of a plurality of route segments, wherein the one or more route attributes comprise one or more passenger orientation restrictions for the at least one passenger;
determining, by the computing system, one or more map constraints based, at least in part, on the passenger data and the map data, wherein the one or more map constraints are indicative of one or more restricted route segments of the plurality of route segments, wherein the one or more restricted route segments are associated with at least one passenger orientation restriction; and
generating, by the computing system, a constrained route based, at least in part, on the one or more map constraints, wherein the constrained route comprises one or more unrestricted route segments different than the restricted route segments; and
initiating, by the computing system, a motion for the bidirectional autonomous vehicle based, at least in part, on the constrained route.

2. The computer-implemented method of claim 1 , wherein the bidirectional autonomous vehicle defines a longitudinal direction, a lateral direction, and a vertical direction, and has at least two ends spaced apart along the longitudinal direction, wherein the two ends comprise a forward end and a rear end, and wherein the forward end and the rear end are defined by the direction of travel of the bidirectional vehicle.

3. The computer-implemented method of claim 1 , wherein the passenger data is indicative of one or more passenger attributes associated with the at least one passenger, and wherein the one or more passenger attributes associated with the at least one passenger comprise at least one of an age, a seat preference, a susceptibility to motion sickness, a handicap, or luggage.

4. The computer-implemented method of claim 3 , further comprising:
determining, by the computing system, one or more motion constraints for the bidirectional autonomous vehicle based, at least in part, on the one or more passenger attributes associated with the at least one passenger; and
determining, by the computing system, the one or more map constraints based, at least in part, on the one or more motion constraints.

5. The computer-implemented method of claim 4 , wherein determining the one or more motion constraints comprise:
determining, by the computing system, that the at least one passenger is associated with a motion constraint requirement based, at least in part, on the passenger data; and
determining, by the computing system, the one or more motion constraints for the bidirectional autonomous vehicle based, at least in part, on the motion constraint requirements.

6. The computer-implemented method of claim 5 , wherein the one or more motion constraints comprise at least one of a speed threshold, an elevation threshold, or a turning radius threshold.

7. The computer-implemented method of claim 6 , wherein the one or more route attributes of a respective route segment of the plurality of route segments comprise a speed, an elevation gain, or a turning radius associated with the respective route segment.

8. The computer-implemented method of claim 7 , wherein:
the respective speed is indicative of at least one of one or more speed limits or an average speed for the respective route segment,
the respective elevation gain is indicative of at least one of one or more maximum elevation gains or an average elevation gain for the respective route segment, or
the respective turning radius is indicative of at least one of one or more maximum turning angles or an average turning angle for the respective route segment.

9. The computer-implemented method of claim 7 , wherein each of the one or more restricted route segments is associated with at least one of a respective speed that achieves the speed threshold, a respective elevation gain that achieves the elevation gain threshold, or a respective turning radius that achieves the turning radius threshold.

10. The computer-implemented method of claim 1 , wherein the one or more route attributes for one or more of the plurality of route segments comprise one or more comfort ratings.

11. The computer-implemented method of claim 10 , further comprising:
determining, by the computing system, a minimum comfort rating for the at least one passenger based, at least in part, on the one or more passenger attributes associated with the at least one passenger.

12. The computer-implemented method of claim 11 , wherein the one or more restricted route segments comprise one or more route segments associated with a comfort rating that fails to achieve the minimum comfort rating.

13. The computer-implemented method of claim 11 , further comprising:
obtaining, by the computing system, user rating data from the at least one passenger indicative of a comfort rating associated with at least one route segment of the plurality of route segments.

14. The computer-implemented method of claim 13 , further comprising:
determining, by the computing system, at least one attribute of the at least one route segment based, at least in part, on the user rating data.

15. A computing system comprising:
one or more processors; and
one or more non-transitory computer-readable media that collectively store instructions that, when executed by the one or more processors, cause the system to perform operations, the operations comprising:
obtaining a request for a transportation service to transport at least one passenger from an origin location to a destination location;
obtaining passenger data for the at least one passenger, wherein the passenger data is indicative of a passenger orientation associated with the at least one passenger;
obtaining map data indicative of one or more route attributes for one or more of a plurality of route segments, wherein the one or more route attributes comprise one or more passenger orientation restrictions for the at least one passenger;
determining one or more map constraints based, at least in part, on the passenger data and the map data, wherein the one or more map constraints are indicative of one or more restricted route segments of the plurality of route segments, wherein the one or more restricted route segments are associated with at least one passenger orientation restriction; and
generating a constrained route from the origin location to the destination location based, at least in part, on the one or more map constraints;

initiating a motion for an autonomous vehicle based, at least in part, on the constrained route.

16. The computing system of claim 15 , wherein the one or more passenger attributes comprise at least one of an age, a seat preference, a susceptibility to motion sickness, a handicap, or luggage.

17. The computing system of claim 15 , wherein the passenger data is obtained from the passenger in response to the request for the transportation service.

18. The computing system of claim 15 , wherein the request for the transportation service comprises a requested comfort level, and wherein the constrained route is generated based, at least in part, on the requested comfort level.

19. The computing system of clai

Assignees

• Uatc Llc

Inventors

• Kanitz Daniel Adam

Classifications

• B62D47/00

  Motor vehicles or trailers predominantly for carrying passengers (superstructures B62D31/00) · CPC title

• B60W2540/221

  Physiology, e.g. weight, heartbeat, health or special needs · CPC title

• B60W2540/223

  Posture, e.g. hand, foot, or seat position, turned or inclined · CPC title

• G01C21/3484

  Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title

• B60N2/10

  tiltable (B60N2/12 {, B60N2/2875} take precedence) · CPC title