IP Library Granted Patent US 11,249,479
Granted Patent B2
US 11,249,479 · App. 16/515,667 · Granted Feb 15, 2022

System to recommend sensor view for quick situational awareness

Inventors: Siddharth Thakur (Paris, FR); Armelle Guerin (Woodside, CA); Julius S. Gyorfi (Vernon Hills, IL); Kevin Poulet (Menlo Park, CA); Aude Laurent (Redwood City, CA); Mark Allan (Campbell, CA); Omar Bentahar (Sunnyvale, CA)
Assignees: Nissan North America, Inc.; Renault S.A.S.
G05D1/0088G05D1/0246G05D1/0276G07C5/008G07C5/08G05D2201/0213
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Quick Facts
Patent No.
US 11,249,479
App. No.
16/515,667
Granted
Feb 15, 2022
Kind
B2
Abstract

A method of exception handing for an autonomous vehicle (AV) includes identifying an exception situation; identifying relevant sensors for the exception situation; identifying relevant tools to the exception situation, the relevant tools usable by a tele-operator to resolve the exception situation; and presenting, on a display of the tele-operator, data from the relevant sensors and the relevant tools.

Claims (64)

1. A method of exception handing for an autonomous vehicle (AV), comprising:

identifying an exception situation;

identifying relevant sensors for the exception situation;

identifying relevant tools to the exception situation, the relevant tools usable by a tele-operator to resolve the exception situation,

wherein in a case that the exception situation is identified as a passenger requesting assistance, a first relevant tool is usable by the tele-operator to activate at least one of a speaker or microphone of the AV,

wherein in a case that the exception situation is identified as an obstruction situation, a second relevant tool is a path-drawing tool, and

wherein in a case that a proposed trajectory is received from the AV, a third relevant tool comprises an action usable by the tele-operator to accept the proposed trajectory; and

presenting, on a display of the tele-operator, data from the relevant sensors and the relevant tools.

2. The method of claim 1 ,

wherein the exception situation is identified as an inside-vehicle exception situation, and

wherein the relevant sensors comprise an inside-facing camera of the AV.

3. The method of claim 1 ,

wherein the exception situation is identified as an outside-vehicle exception situation, and

wherein the relevant sensors comprise an outside-facing camera of the AV.

4. The method of claim 1 , further comprising:

receiving an assistance request to resolve the exception situation from the AV.

5. The method of claim 1 , wherein the relevant sensors comprise an off-board sensor.

6. The method of claim 5 , wherein the off-board sensor is an infrastructure sensor.

7. The method of claim 5 , wherein the off-board sensor is an agent sensor.

8. The method of claim 1 , wherein identifying the relevant sensors comprising:

identifying an infrastructure sensor that is within a geofence of the AV.

9. The method of claim 1 , wherein identifying the relevant sensors comprising:

analyzing a first quality of a first image from an on-board sensor;

analyzing a second quality of a second image from an off-board sensor; and

in response to comparing the first quality to the second quality, identifying the off-board sensor to the tele-operator.

10. A system for exception handing for an autonomous vehicle (AV), comprising:

a memory; and

a processor, the processor is configured to execute instructions stored in the memory to:

identify an exception situation;

identify a relevant sensor for the exception situation by steps including:

responsive to first images from an a first sensor being more saturated with light than second images from a second sensor, identify the second sensor as the relevant sensor;

identify relevant tools to the exception situation, the relevant tools usable by a tele-operator to resolve the exception situation; and

present, on a display of the tele-operator, data from the relevant sensor and the relevant tools.

11. The system of claim 10 ,

wherein the exception situation is identified as an inside-vehicle exception situation, and

wherein the relevant sensor is an inside-facing camera of the AV.

12. The system of claim 10 ,

wherein the exception situation is identified as an outside-vehicle exception situation, and

wherein the relevant sensor is an outside-facing camera of the AV.

13. The system of claim 10 , wherein the instructions further comprise instructions to:

receive an assistance request to resolve the exception situation from the AV.

14. The system of claim 10 , wherein the second sensor is an off-board sensor.

15. The system of claim 14 , wherein the off-board sensor is an infrastructure sensor.

16. The system of claim 14 , wherein the off-board sensor is an agent sensor.

17. The system of claim 10 , wherein to identify the relevant sensor comprises to:

identify an infrastructure sensor that is within a geofence of the AV.

18. The system of claim 10 , wherein to identify the relevant sensor further comprises to:

analyze first contents of a first image from an on-board sensor;

analyze second contents of a second image from an off-board sensor; and

in response to comparing the first contents to the second contents, identify the off-board sensor to the tele-operator.

19. A system for exception handing in autonomous driving, comprising:

a memory; and

a processor, the processor is configured to execute instructions stored in the memory to:

receive an assistance request to resolve an exception situation from an autonomous vehicle (AV);

identify an on-board sensor of the AV;

identify an off-board sensor;

select one of the on-board sensor or the off-board sensor as a selected sensor;

present data from the selected sensor to a tele-operator;

present tools to the tele-operator,

wherein the tools comprise a path-drawing tool, a first action usable by the tele-operator to accept a proposed trajectory received from the AV, and a second action usable by the tele-operator to reject the proposed trajectory;

receive, from the tele-operator, a validated solution to the exception situation; and

transmit the validated solution to the AV.

20. The system of claim 19 , wherein to select one of the on-board sensor or the off-board sensor comprises to:

in response to determining that an image from the on-board sensor is saturated with light, select the off-board sensor.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 28, 2022
From: NISSAN NORTH AMERICA, INC.
To: NISSAN MOTOR CO., LTD.
Reel/Frame 060656/0554 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Feb 18, 2020
From: NISSAN NORTH AMERICA, INC.
To: NISSAN NORTH AMERICA, INC.; RENAULT S.A.S.
Reel/Frame 051844/0750 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 18, 2019
From: THAKUR, SIDDHARTH; GUERIN, ARMELLE; POULET, KEVIN; LAURENT, AUDE; BENTAHAR, OMAR
To: NISSAN NORTH AMERICA, INC.
Reel/Frame 049793/0153 →
Continuity (1)
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