IP Library › Granted Patent US 10,423,844
Granted Patent B2
US 10,423,844 · App. 15/716,610 · Granted Sep 24, 2019

Personalized augmented reality vehicular assistance for color blindness condition

Inventors: Siyuan Dai (Mountain View, CA); Nikos Arechiga (Mountain View, CA); Chung-Wei Lin (Mountain View, CA); Shinichi Shiraishi (Mountain View, CA)
G06K9/00825G02B27/01G06T19/006G08G1/095B60W2050/146G02B2027/014G02B2027/0141G02B2027/0187
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Quick Facts
Patent No.
US 10,423,844
App. No.
15/716,610
Granted
Sep 24, 2019
Kind
B2
Abstract

The disclosure includes embodiments for providing augmented reality (“AR”) vehicular assistance for drivers who are color blind. A method according to some embodiments includes identifying an illuminated light in a driving environment of the vehicle based on sensor data recorded by a sensor. The method includes determining a color of the illuminated light based on the sensor data. The method includes determining if the color is of a specific type. The method includes determining a vehicular action to be taken responsive to the color being of the specific type. The method includes displaying an AR overlay using the AR viewing device that visually depicts a word which describes the vehicular action to be taken.

Claims (43)

1. A method for a vehicle including an augmented reality (“AR”) viewing device, the method comprising:

identifying an illuminated light in a driving environment of the vehicle based on sensor data recorded by a sensor;

determining a relative location of the illuminated light based on external identifier data that describes (1) an image of the illuminated light; (2) a geographic location of a connected roadway infrastructure device; and (3) a range separating the connected roadway infrastructure device from the illuminated light;

determining, based on the relative location of the illuminated light, that the illuminated light is an object to highlight using an AR overlay;

determining a color of the illuminated light based on the sensor data;

determining that the color is a specific type;

responsive to the color being the specific type, determining a vehicular action to be taken based on the color; and

displaying the AR overlay using the AR viewing device that visually depicts a word which describes the vehicular action to be taken.

2. The method of claim 1 , wherein the illuminated light is selected from a group that includes the following: a red light of a traffic light; a red light of a brake light; a yellow light of a traffic light; and a green light of a traffic light.

3. The method of claim 1 , wherein the word is selected from a group that includes the following: “STOP” for a red light of a traffic light; “BRAKE” for a red light of a brake light; “DECELERATE” for a yellow light of a traffic light; and “GO” for a green light of a traffic light.

4. The method of claim 1 , wherein the illuminated light is identified based on digital data included in a Dedicated Short Range Communication message received by the vehicle, wherein the digital data describes the illuminated light.

5. The method of claim 1 , wherein the AR viewing device is a three-dimensional heads-up display unit which is operable to display the AR overlay so that it visually appears to have three dimensions in a real-world.

6. The method of claim 1 , wherein the AR viewing device is an AR goggle.

7. The method of claim 1 , wherein the AR overlay consists of text for one word which describes the vehicular action.

8. The method of claim 1 , wherein the method is executed in real time relative to the illuminated light being identified.

9. A system of a vehicle comprising:

an augmented reality (“AR”) viewing device; and

an onboard vehicle computer system that is communicatively coupled to the AR viewing device, the onboard vehicle computer system including a non-transitory memory storing computer code which, when executed by the onboard vehicle computer system causes the onboard vehicle computer system to:

identify an illuminated light in a driving environment of the vehicle based on sensor data recorded by a sensor;

determine a relative location of the illuminated light based on external identifier data that describes (1) an image of the illuminated light; (2) a geographic location of a connected roadway infrastructure device; and (3) a range separating the connected roadway infrastructure device from the illuminated light;

determine, based on the relative location of the illuminated light, that the illuminated light is an object to highlight using an AR overlay;

determine a color of the illuminated light based on the sensor data;

determine that the color is a specific type;

responsive to the color being the specific type, determine a vehicular action to be taken based on the color; and

display the AR overlay using the AR viewing device that visually depicts a word which describes the vehicular action to be taken.

10. The system of claim 9 , wherein the illuminated light is identified based on measurements of the driving environment recorded by one or more onboard sensors of the vehicle.

11. The system of claim 9 , wherein the illuminated light is identified based on digital data included in a Dedicated Short Range Communication message received by the vehicle, wherein the digital data describes the illuminated light.

12. The system of claim 9 , wherein the AR viewing device is a three-dimensional heads-up display unit which is operable to display the AR overlay so that it visually appears to have three dimensions in a real-world.

13. The system of claim 9 , wherein the AR viewing device is an AR goggle.

14. The system of claim 9 , wherein the AR overlay consists of text for one word which describes the vehicular action.

15. The system of claim 9 , wherein the AR overlay is displayed in real time relative to the illuminated light being identified.

16. A computer program product comprising a non-transitory memory of an onboard vehicle computer system of a vehicle storing computer-executable code that, when executed by the onboard vehicle computer system, causes the onboard vehicle computer system to:

identify an illuminated light in a driving environment of the vehicle based on sensor data recorded by a sensor;

determine a relative location of the illuminated light based on external identifier data that describes (1) an image of the illuminated light; (2) a geographic location of a connected roadway infrastructure device; and (3) a range separating the connected roadway infrastructure device from the illuminated light;

determine, based on the relative location of the illuminated light, that the illuminated light is an object to highlight using an AR overlay;

determine a color of the illuminated light based on the sensor data;

determine that the color is a specific type;

responsive to the color being the specific type, determine a vehicular action to be taken based on the color; and

display the AR overlay using the AR viewing device that visually depicts a word which describes the vehicular action to be taken.

17. The computer program product of claim 16 , wherein the illuminated light is identified based on measurements of the driving environment recorded by one or more onboard sensors of the vehicle.

18. The computer program product of claim 16 , wherein the illuminated light is identified based on digital data included in a Dedicated Short Range Communication message received by the vehicle, wherein the digital data describes the illuminated light.

19. The computer program product of claim 16 , wherein the AR viewing device is a three-dimensional heads-up display unit which is operable to display the AR overlay so that it visually appears to have three dimensions in a real-world.

20. The computer program product of claim 16 , wherein the AR overlay consists of text for one word which describes the vehicular action.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded May 22, 2019
From: DAI, SIYUAN; ARECHIGA, NIKOS; LIN, CHUNG-WEI; SHIRAISHI, SHINICHI
To: TOYOTA JIDOSHA KABUSHIKI KAISHA
Reel/Frame 049259/0623 →
Continuity (1)
Related Publication 20190095729A1 · Mar 28, 2019
Cited By (1)
US 12,738,072