Systems and methods for dynamically generating artwork based on vehicle sensor data

US12223563B2 · US · B2

Patent metadata
FieldValue
Publication numberUS-12223563-B2
Application numberUS-202217935717-A
CountryUS
Kind codeB2
Filing dateSep 27, 2022
Priority dateSep 27, 2022
Publication dateFeb 11, 2025
Grant dateFeb 11, 2025

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  1. Title

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  2. Abstract

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  5. First independent claim

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Abstract

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Systems and methods for dynamically generating artwork from vehicle sensor data are disclosed. In one embodiment, a method of generating an artwork includes receiving vehicle sensor data from a vehicle, inputting the vehicle sensor data into a trained model, and generating, by the trained model, the artwork based at least in part on the vehicle sensor data.

First claim

Opening claim text (preview).

The invention claimed is: 1. A method of generating an artwork comprising: receiving vehicle sensor data from a vehicle; receiving user preference data; inputting the vehicle sensor data and the user preference data into a trained model; generating, by the trained model, the artwork based at least in part on the vehicle sensor data and the user preference data; and generating a non-fungible token from the artwork. 2. The method of claim 1 , further comprising inputting external data into the trained model, wherein the artwork is further based at least in part on the external data. 3. The method of claim 2 , wherein the external data comprises at least one of location data, temporal data, weather data and race result data. 4. The method of claim 2 , wherein the artwork depicts a lighting corresponding to one or more of the external data and the vehicle sensor data. 5. The method of claim 1 , wherein the vehicle sensor data comprises at least one of speed data, acceleration data and camera data. 6. The method of claim 1 , wherein the artwork includes one or more vehicle performance attributes derived from the vehicle sensor data. 7. The method of claim 1 , further comprising applying a filter to the artwork. 8. The method of claim 1 , wherein the trained model is a generative adversarial network. 9. The method of claim 1 , wherein the user preference data includes an artwork style. 10. A system for generating an artwork comprising: one or more processors: a non-transitory computer-readable medium storing instructions that, when executed by the one or more processors, cause the one or more processors to: receive vehicle sensor data from a vehicle; receive user preference data; input the vehicle sensor data and the user preference data into a trained model; generate, by the trained model, the artwork based at least in part on the vehicle sensor data and the user preference data; and generating a non-fungible token from the artwork. 11. The system of claim 10 , wherein the instructions further cause the one or more processors to input external data into the trained model, wherein the artwork is further based at least in part on the external data. 12. The system of claim 11 , wherein the external data comprises at least one of location data, temporal data, weather data and race result data. 13. The system of claim 11 , wherein the artwork depicts a lighting corresponding to one or more of the external data and the vehicle sensor data. 14. The system of claim 10 , wherein the vehicle sensor data comprises at least one of speed data, acceleration data and camera data. 15. The system of claim 10 , wherein the artwork includes one or more vehicle performance attributes derived from the vehicle sensor data. 16. The system of claim 10 , wherein the instructions further cause the one or more processors to apply a filter to the artwork. 17. The system of claim 10 , wherein the user preference data includes an artwork style. 18. A computer-implement method of generating an artwork comprising: receiving vehicle sensor data from a vehicle; receiving external data; inputting the vehicle sensor data, external data, and user preferences into a trained model; generating, by the trained model, the artwork based at least in part on the vehicle sensor data, wherein the artwork depicts a lighting corresponding to one or more of the external data and the vehicle sensor data; and generating a non-fungible token from the artwork.

Assignees

Inventors

Classifications

  • Registering performance data (recording measured values G01D; information storage G11B) · CPC title

  • G06T11/00Primary

    Two-dimensional [2D] image generation · CPC title

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Frequently asked questions

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What does patent US12223563B2 cover?
Systems and methods for dynamically generating artwork from vehicle sensor data are disclosed. In one embodiment, a method of generating an artwork includes receiving vehicle sensor data from a vehicle, inputting the vehicle sensor data into a trained model, and generating, by the trained model, the artwork based at least in part on the vehicle sensor data.
Who is the assignee on this patent?
Toyota Connected North America Inc
What technology area does this patent fall under?
Primary CPC classification G06T11/00. Mapped technology areas include Physics.
When was this patent published?
Publication date Tue Feb 11 2025 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 12 related publications on this page (citations in our corpus or others sharing the same primary CPC).