Augmented reality rider interface responsive to location or orientation of the vehicle

Patent metadata

Field	Value
Publication number	US-11768488-B2
Application number	US-202318113479-A
Country	US
Kind code	B2
Filing date	Feb 23, 2023
Priority date	Sep 30, 2018
Publication date	Sep 26, 2023
Grant date	Sep 26, 2023

Abstract

A rider interface for a vehicle includes a data processor configured to facilitate communication between a rider using the rider interface and the vehicle, the vehicle and the rider interface communicating location and orientation of the vehicle. An augmented reality system with a display is disposed to facilitate presenting an augmentation of content in an environment of the rider using the rider interface, the augmentation responsive to a registration of the communicated location and orientation of the vehicle, wherein at least one parameter of the augmentation is determined by machine learning on at least one input relating to at least one of the rider and the rider interface.

First claim

What is claimed is:

1. A rider interface for a vehicle, the rider interface comprising:
a data processor configured to facilitate communication between a rider using the rider interface and the vehicle, the vehicle and the rider interface communicating location and orientation of the vehicle; and
an augmented reality system with a display disposed to facilitate presenting an augmentation of content in an environment of the rider using the rider interface, the augmentation responsive to a registration of the communicated location and orientation of the vehicle, wherein at least one parameter of the augmentation is determined by machine learning on at least one input relating to at least one of the rider and the rider interface.

2. The rider interface of claim 1 wherein the vehicle comprises a system for automating at least one control parameter of the vehicle.

3. The rider interface of claim 1 wherein the vehicle is an autonomous vehicle that is at least semi-autonomous.

4. The rider interface of claim 1 wherein the vehicle is automatically routed.

5. The rider interface of claim 1 wherein the vehicle is a self-driving vehicle.

6. The rider interface of claim 1 wherein the content in the environment is content that is visible in a portion of a field of view of the rider using the rider interface.

7. The rider interface of claim 1 wherein the machine learning on the input of the rider determines an emotional state of the rider and a value for the at least one parameter is adapted responsive to the rider emotional state.

8. The rider interface of claim 1 wherein the machine learning on the input of the vehicle determines an operational state of the vehicle and a value for the at least one parameter is adapted responsive to the vehicle operational state.

9. The rider interface of claim 1 further comprising a vehicle configuration expert system for recommending an adjustment of a value of the at least one parameter to the augmented reality system responsive to the at least one input.

10. The rider interface of claim 1 , wherein the vehicle interface is a rider headgear associated with the vehicle.

11. An augmented reality system for a vehicle, the augmented reality system comprising:
a display disposed to facilitate presenting an augmentation of content in an environment of a rider of the vehicle;
a circuit for registering at least one of location and orientation of a vehicle that the rider is using;
a machine learning circuit that determines at least one augmentation parameter by processing at least one input relating to at least one of the rider and the vehicle; and
a reality augmentation circuit that, responsive to the registered at least one of a location and orientation of the vehicle generates an augmentation element for presenting in the display, the generating based at least in part on the determined at least one augmentation parameter.

12. The augmented reality system of claim 11 wherein the vehicle comprises a system for automating at least one control parameter of the vehicle.

13. The augmented reality system of claim 12 wherein the vehicle is an autonomous vehicle that is at least semi-autonomous.

14. The augmented reality system of claim 13 wherein the vehicle is automatically routed.

15. The augmented reality system of claim 14 wherein the vehicle is a self-driving vehicle.

16. The augmented reality system of claim 11 wherein the content in the environment is content that is visible in a portion of a field of view of the rider of the vehicle.

17. The augmented reality system of claim 11 wherein the machine learning on the input of the rider determines an emotional state of the rider and a value for the at least one parameter is adapted responsive to the rider emotional state.

18. The augmented reality system of claim 11 wherein the machine learning on the input of the vehicle determines an operational state of the vehicle and a value for the at least one parameter is adapted responsive to the vehicle operational state.

19. The augmented reality system of claim 11 further comprising a vehicle configuration expert system for recommending an adjustment of a value of the at least one parameter to the augmented reality system responsive to the at least one input.

Assignees

• Strong Force Tp Portfolio 2022 Llc

Inventors

• Cella Charles Howard

Classifications

• G06Q10/40

  Business processes related to social networking or social networking services · CPC title

• G06N3/0464

  Convolutional networks [CNN, ConvNet] · CPC title

• G06N3/092

  Reinforcement learning · CPC title

• G06N3/082

  modifying the architecture, e.g. adding, deleting or silencing nodes or connections · CPC title

• G06N3/0442

  characterised by memory or gating, e.g. long short-term memory [LSTM] or gated recurrent units [GRU] · CPC title