Vehicle automation and operator engagment level prediction

Patent metadata

Field	Value
Publication number	US-10198009-B2
Application number	US-201715406301-A
Country	US
Kind code	B2
Filing date	Jan 13, 2017
Priority date	Jan 26, 2016
Publication date	Feb 5, 2019
Grant date	Feb 5, 2019

Abstract

In one embodiment, a method comprises obtaining inputs pertaining to one or more conditions of route planned for a vehicle having autonomous operation capability; predicting, via a processor, a future level of engagement for an operator of the vehicle, using the inputs; and providing, for the operator, information pertaining to the future level of engagement.

First claim

What is claimed is:

1. A method comprising:
obtaining inputs pertaining to conditions of a plurality of potential routes to reach an operator-requested destination planned for a vehicle having autonomous operation capability, wherein the obtaining inputs comprises obtaining inputs pertaining, for each potential route, to a plurality of conditions of the potential route, wherein the plurality of conditions relate to a level of automated driving expected for the potential route;
predicting, via a processor, a future level of engagement required for an operator of the vehicle, for each of the plurality of potential routes, based on the level of automated driving expected for the potential route, using the inputs;
obtaining sensor data, from one or more sensors, pertaining to the operator of the vehicle;
monitoring a level of awareness of the operator of the vehicle, via the processor, based on the sensor data; and
providing, for the operator, information relating, for each of the plurality of potential routes, (a) the future level of engagement required for the operator with (b) the level of awareness of the operator of the vehicle.

2. The method of claim 1 , wherein the obtaining inputs includes, for each of the plurality of potential routes, crowd-source monitoring for the potential route.

3. The method of claim 1 , wherein the obtaining inputs includes obtaining, for each of the plurality of potential routes, data analytics for the potential route.

4. The method of claim 1 , wherein the obtaining inputs includes obtaining, for each of the plurality of potential routes, historical information for the potential route.

5. The method of claim 1 , wherein the obtaining inputs comprises obtaining, for each of the plurality of potential routes, a user history for the operator of the vehicle with respect to the operator's preferences.

6. The method of claim 1 , wherein the obtaining inputs includes, for each of the plurality of potential routes, obtaining road conditions for the potential route.

7. The method of claim 1 , further comprising:
selecting a preferred route of the plurality of potential routes, based on a comparison of (a) the level of awareness of the operator of the vehicle with (b) the future level of engagement required for the operator of the vehicle, for each of the plurality of potential routes.

8. The method of claim 1 , further comprising:
selecting a plurality of preferred routes of the plurality of potential routes, based on a comparison of (a) the level of awareness of the operator of the vehicle with (b) the future level of engagement required for the operator of the vehicle, for each of the plurality of potential routes; and
providing a visual display, inside the vehicle, of the plurality of preferred routes for the operator of the vehicle.

9. The method of claim 1 , wherein each of the plurality of potential routes comprises a plurality of segments, and the method further comprises:
predicting, via the processor, for each segment of each of the plurality of potential routes, a respective future level of engagement required for the operator of the vehicle for the segment, based on a respective level of automated driving expected for the segment.

10. The method of claim 9 , wherein the providing of the information comprises, for a respective potential route, visually presenting the respective future levels of engagement required for the operator of the vehicle for each of the plurality of segments of the potential route in different colors, with each color representing a different future level of engagement required for the operator.

11. The method of claim 10 , wherein each color represents a different level of autonomous operation for the autonomous vehicle.

12. The method of claim 10 , wherein the providing of the information comprises, for a respective potential route, visually presenting the respective future levels of engagement required for the operator of the vehicle for each of the plurality of segments of the potential route embedded within a visual presentation of a map of the potential route.

13. The method of claim 10 , wherein the providing of the information comprises, for a respective potential route, visually presenting the respective future levels of engagement required for the operator of the vehicle for each of the plurality of segments of the potential route via a linear presentation with respect to a distance to be travelled along the potential route.

14. The method of claim 1 , further comprising:
receiving inputs from the operator as to a preferred schedule for multiple levels of automation for operating the vehicle at different points in time; and
determining a selected route of the potential routes based on a comparison of (a) the preferred schedule from the operator, with (b) the respective future levels of engagement required for the operator of the vehicle for each of the segments of each of the potential routes as predicted via the processor.

15. The method of claim 14 , wherein the selected route is determined so as to match a desired level of automation for operating the vehicle at a particular time, per the preferred schedule from the operator, with the respective future level of engagement required for the operator of the vehicle at the particular time, per the predictions via the processor of the respective future levels of engagement required for the operator of the vehicle for each of the segments of each of the potential routes.

16. The method of claim 1 , wherein:
the operator is disposed inside the vehicle; and
the step of providing the information comprises, providing, for the operator, on a visual display inside the vehicle, information relating, for each of the plurality of potential routes, (a) the future level of engagement required for the operator with (b) the level of awareness of the operator of the vehicle.

17. A system comprising:
an input unit configured to at least facilitate:
obtaining inputs pertaining to conditions of a plurality of potential routes to reach an operator-requested destination planned for a vehicle having autonomous operation capability;

a sensor unit configured to at least facilitate:
obtaining sensor data pertaining to an operator of the vehicle via one or more sensors; and

a processor configured to at least facilitate:
predicting a future level of engagement required for the operator of the vehicle, for each of the plurality of potential routes, based on the level of automated driving expected for the potential route, using the inputs;
monitoring a level of awareness of the operator of the vehicle based on the sensor data; and
providing, for the operator, information relating, for each of the plurality of potential routes, (a) the future level of engagement required for the operator with (b) the level of awareness of the operator of the vehicle.

18. The system of claim 17 , wherein the input unit is configured to at least facilitate, for each of the plurality of potential routes, crowd-source monitoring for the potential route.

19. The system of claim 17 , wherein the input unit is configured to at least facilitate, for each of the plurality of potential routes, obtaining historical information for the potential route, along with a user history for the operator of the vehicle with respect to the operator's preferences.

20. A vehicle comprising:
a propulsion system having autonomous operation capability;
an input unit configured to at least facilitate:
obtaining inputs pertaining to conditions of a plu

Assignees

• Gm Global Tech Operations Llc

Inventors

• Wang Peggy
• Mathieu Roy J
• Szczerba Joseph F
• Bertollini Gary P

Classifications

• G01C21/3484

  Personalized, e.g. from learned user behaviour or user-defined profiles · CPC title

• B60W50/10

  Interpretation of driver requests or demands · CPC title

• B60W50/14

  Means for informing the driver, warning the driver or prompting a driver intervention · CPC title

• G01C21/3697

  Output of additional, non-guidance related information, e.g. low fuel level (G01C21/3679 takes precedence) · CPC title

• B60W2040/0818

  Inactivity or incapacity of driver · CPC title