DYNAMIC INTERIOR COLOR PALETTE

• US 20180130445A1
• Filed: 07/21/2017
• Published: 05/10/2018
• Est. Priority Date: 07/22/2016
• Status: Abandoned Application

• Current Assignee: Faraday & Future Inc.
• Original Assignee: Faraday & Future Inc.
• Inventors: Daz, Nicholas William
• Application Number:
  US15/656,312
• Publication Number:
  US 20180130445A1
• Time in Patent Office: Days
• CPC Class Codes: B60Q 3/80 Circuits; Control arrangements for dashboards B60Q3/16; for mass transit vehicles B60Q3/47
• CPC Class Codes: B60R 2300/108 using 'non-standard' camera systems, e.g. camera sensor used for additional purposes i.a. rain sensor, camera sensor split in multiple image areas
• CPC Class Codes: B60R 2300/302 combining image information with GPS information or vehicle data, e.g. vehicle speed, gyro, steering angle data
• CPC Class Codes: B60R 2300/50 characterised by the display information being shared, e.g. external display, data transfer to other traffic participants or centralised traffic controller
• CPC Class Codes: G09G 2320/0666 for control of colour parameters, e.g. colour temperature
• CPC Class Codes: G09G 2320/08 Arrangements within a display terminal for setting, manually or automatically, display parameters of the display terminal
• CPC Class Codes: G09G 2360/144 the light being ambient light
• CPC Class Codes: G09G 2360/16 Calculation or use of calculated indices related to luminance levels in display data
• CPC Class Codes: G09G 2380/10 Automotive applications
• CPC Class Codes: G09G 5/02 characterised by the way in which colour is displayed details of colour display specific for CRTs G09G1/28; specific for flat matrix panels other than liquid crystal displays G09G3/2003; specific for liquid crystal displays G09G3/3607
• CPC Class Codes: G09G 5/06 using colour palettes, e.g. look-up tables

Abstract

An interior color control system for a vehicle including a sensor configured to capture an image of a scene exterior to the vehicle, a display with configurable color, and a controller in communication with the sensor and interior display. The controller may be configured to determine a first set of color features based on the captured image, and a second set of color features based on the first set of color features, for the interior display.

Claims

1. An interior color control system for a vehicle, comprising at least:

a sensor configured to capture an image of a scene exterior to the vehicle;

an interior display with configurable color; and

a controller in communication with the sensor and interior display, and configured to;

determine a first set of color features based on the captured image; and

determine a second set of color features for the interior display based on the first set of color features.

2. The control system of claim 1, wherein the sensor device includes at least one of a radar, a LIDAR, and a camera.

3. The control system of claim 1, wherein the display device includes at least one of a vehicle display and a display of a mobile device inside the vehicle.

4. The control system of claim 1, wherein the controller is further configured to determine a location of the vehicle;

and associate the second set of color features with the location.

5. The control system of claim 4, wherein the location is determined based on at least the captured image or a GPS signal.

6. The control system of claim 1, wherein the controller is configured to determine a color palette for the interior display based on the second set of color features.

7. The control system of claim 1, wherein the first set of color features includes dominant colors in the captured image.

8. The control system of claim 1, wherein the controller is further configured to adjust interior lighting of the vehicle based on the first set of color features.

9. The control system of claim 1, wherein the controller is further configured to adjust the second set of color features based on a time of a day.

10. The control system of claim 9, wherein the controller is further configured to determine a set of landscape features based on the captured image;

and determine the second set of color features based additionally on the set of landscape features.

11. A method for controlling the interior color of a vehicle, comprising steps of:

capturing an image of a scene exterior to the vehicle;

determining a first set of color features based on the captured image; and

determining a second set of color features for the interior display based on the first set of color features.

12. The method of claim 11, wherein the image is captured with at least one of a radar, a LIDAR, and a camera.

13. The method of claim 11, wherein the second set of color features is used in at least one of a vehicle display and a display of a mobile device inside the vehicle.

14. The method of claim 11, further comprising steps of determining a location of the vehicle;

and associate the second set of color features with the location.

15. The method of claim 11, further comprising steps of determining a color palette for the interior display based on the second set of color features.

16. The method of claim 11, wherein the first set of color features includes dominant colors in the captured image.

17. The method of claim 11, further comprising steps of adjusting interior lighting of the vehicle based on the first set of color features.

18. The method of claim 11, further comprising steps of adjusting the second set of color features based on a time of a day.

19. A non-transitory computer-readable storage medium storing a computer program which, when executed by at least one processor, causes the at least one processor to perform a method of controlling the interior color of a vehicle, the method comprising:

capturing an image of a scene exterior to the vehicle;

determining a first set of color features based on the captured image; and

determining a second set of color features for the interior display based on the first set of color features.

20. The non-transitory computer-readable media of claim 19, wherein the image is captured with at least one of a radar, a LIDAR, and a camera.