Parameters of augmented reality responsive to location or orientation based on rider or vehicle
A vehicle includes 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 the vehicle; 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 at least one of the location or the orientation of the vehicle, generates an augmentation element for presenting in the display, the generating based at least in part on the at least one augmentation parameter.
1. A vehicle, 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 the vehicle;
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 at least one of the location or the orientation of the vehicle, generates an augmentation element for presenting in the display, the generating based at least in part on the at least one augmentation parameter.
2. The vehicle of claim 1 , wherein the vehicle further includes a system for automating at least one control parameter of the vehicle.
3. The vehicle of claim 1 , wherein the vehicle is an autonomous vehicle that is at least semi-autonomous.
4. The vehicle of claim 1 , wherein the vehicle further includes an automatic routing system that automatically routes the vehicle.
5. The vehicle of claim 1 , wherein the vehicle is a self-driving vehicle.
6. The vehicle 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 of the vehicle.
7. The vehicle of claim 1 , wherein the machine learning circuit further determines an emotional state of the rider and adapts a value for the at least one augmentation parameter responsive to the rider emotional state.
8. The vehicle of claim 1 , wherein the machine learning circuit further determines an operational state of the vehicle and adapts a value for the at least one augmentation parameter responsive to the vehicle operational state.
9. The vehicle of claim 1 , further comprising a vehicle configuration expert system that recommends an adjustment of a value of the at least one augmentation parameter to the augmented reality system responsive to the at least one input.
10. A method of augmenting reality for a rider of a vehicle, the method comprising:
registering, using a processor, at least one of location and orientation of the vehicle;
processing, using machine learning, at least one input relating to at least one of the rider and the vehicle to determine at least one augmentation parameter;
generating an augmentation element for presentation to the rider responsive to the at least one of the location or the orientation and based at least in part on the at least one augmentation parameter; and
augmenting reality for the rider by augmenting content in an environment of the rider of the vehicle, including displaying the augmentation element on a display of the vehicle disposed to augment the content based on a position of the rider.
11. The method of claim 10 , further including automating at least one control parameter of the vehicle.
12. The method of claim 10 , wherein augmenting content further includes augmenting content in an autonomous vehicle that is at least semi-autonomous.
13. The method of claim 10 , further including automatically routing the vehicle.
14. The method of claim 10 , wherein augmenting content further includes augmenting content in a self-driving vehicle as the vehicle.
15. The method of claim 10 , wherein augmenting content includes augmenting content that is visible in the environment in a portion of a field of view of the rider of the vehicle.
16. The method of claim 10 , further comprising using machine learning circuit to determine an emotional state of the rider and adapt a value for the at least one augmentation parameter responsive to the rider emotional state.
17. The method of claim 10 , wherein processing using machine learning further determines an operational state of the vehicle and adapts a value for the at least one augmentation parameter responsive to the vehicle operational state.
18. The method of claim 10 , further comprising using a vehicle configuration expert system to recommend an adjustment of a value of the at least one augmentation parameter for augmenting reality responsive to the at least one input.