Vehicle data storage activation

Patent metadata

Field	Value
Publication number	US-12169986-B2
Application number	US-202217723849-A
Country	US
Kind code	B2
Filing date	Apr 19, 2022
Priority date	Apr 19, 2022
Publication date	Dec 17, 2024
Grant date	Dec 17, 2024

Abstract

A computer is programmed to receive a plurality of first values for a respective plurality of variables transmitted over a communications network of a vehicle; determine a similarity measure between the first values and a plurality of second values of the variables; determine whether to transmit a collection of data transmitted over the communications network based on the similarity measure; and, upon so determining, transmit the collection of data to a server remote from the vehicle. The second values are a most similar set of values from an activation surface for a feature of the vehicle. The activation surface is a surface in a space defined by the variables dividing the space into regions in which activation of the feature is more or less likely than not, respectively, to have occurred when the variables have values in that region.

First claim

The invention claimed is:

1. A computer comprising a processor and a memory, the memory storing instructions executable by the processor to:
activate a feature of a vehicle, wherein activation of the feature includes actuation of at least one of a propulsion system, a braking system, or a steering system of the vehicle;
receive a plurality of first values for a respective plurality of variables transmitted over a communications network of the vehicle;
determine a similarity measure between the first values and a plurality of second values of the variables, the second values being a most similar set of values from an activation surface for the feature of the vehicle, the activation surface being a surface in a space defined by the variables dividing the space into a first region and a second region, activation of the feature being more likely than not to have occurred when the variables have values in the first region, and activation of the feature being less likely than not to have occurred when the variables have values in the second region;
determine whether to transmit a collection of data based on the similarity measure, the collection of data being data transmitted over the communications network; and
upon determining to transmit the collection of data, transmit the collection of data to a server remote from the vehicle.

2. The computer of claim 1 , wherein a likelihood of determining to transmit the collection of data is positively correlated with the similarity measure.

3. The computer of claim 1 , wherein the instructions further include instructions to receive the activation surface from the server.

4. The computer of claim 1 , wherein
the instructions further include instructions to determine a probability value of the variables equaling the first values; and
determining whether to transmit the collection of data is based on the probability value.

5. The computer of claim 4 , wherein determining the probability value is based on a probability distribution of the variables.

6. The computer of claim 5 , wherein the instructions further include instructions to receive the probability distribution of the variables from the server.

7. The computer of claim 4 , wherein a likelihood of determining to transmit the collection of data is negatively correlated with the probability value.

8. The computer of claim 4 , wherein
the instructions further include instructions to determine a sum including the similarity measure and the probability value;
determining whether to transmit the collection of data includes determining whether the sum exceeds a threshold; and
transmitting the collection of data to the server occurs upon determining that the sum exceeds the threshold.

9. The computer of claim 8 , wherein the sum is a weighted sum including the similarity measure and the probability value weighted by respective weights.

10. The computer of claim 9 , wherein the instructions further include instructions to receive the weights from the server.

11. The computer of claim 8 , wherein
the probability value is a first probability value;
the instructions further include instructions to receive a plurality of third values for a respective plurality of secondary variables, and determine a second probability value of the secondary variables equaling the third values;
the secondary variables are not used for activating the feature; and
the sum includes the similarity measure, the first probability value, and the second probability value.

12. The computer of claim 1 , wherein
the instructions further include instructions to receive a plurality of third values for a respective plurality of secondary variables, and determine a probability value of the secondary variables equaling the third values;
the secondary variables are not used for activating the feature; and
determining whether to transmit the collection of data is based on the probability value.

13. The computer of claim 12 , wherein determining the probability value is based on a probability distribution of the secondary variables.

14. The computer of claim 13 , wherein the instructions further include instructions to receive the probability distribution of the secondary variables from the server.

15. The computer of claim 12 , wherein a likelihood of determining to transmit the collection of data is negatively correlated with the probability value.

16. The computer of claim 1 , wherein the collection of data includes data indicating whether the feature activated during an interval of time.

17. The computer of claim 1 , wherein the collection of data includes a plurality of third values of the variables over an interval of time, and the third values include the first values.

18. The computer of claim 1 , wherein the feature is one of forward collision warning, lane-departure warning, blind-spot warning, automatic emergency braking, adaptive cruise control, or lane-keeping assistance.

19. A method comprising:
activating a feature of a vehicle, wherein activation of the feature includes actuation of at least one of a propulsion system, a braking system, or a steering system of the vehicle;
receiving a plurality of first values for a respective plurality of variables transmitted over a communications network of the vehicle;
determining a similarity measure between the first values and a plurality of second values of the variables, the second values being a most similar set of values from an activation surface for the feature of the vehicle, the activation surface being a surface in a space defined by the variables dividing the space into a first region and a second region, activation of the feature being more likely than not to have occurred when the variables have values in the first region, and activation of the feature being less likely than not to have occurred when the variables have values in the second region;
determining whether to transmit a collection of data based on the similarity measure, the collection of data being data transmitted over the communications network; and
upon determining to transmit the collection of data, transmitting the collection of data to a server remote from the vehicle.

Assignees

• Ford Global Tech Llc

Inventors

• Salciccioli Nicolas
• Herman david michael
• Jain Yashanshu
• Mills Aaron L

Classifications

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• G06F17/18

  for evaluating statistical data {, e.g. average values, frequency distributions, probability functions, regression analysis (forecasting specially adapted for a specific administrative, business or logistic context G06Q10/04)} · CPC title

• G06F17/40

  Data acquisition and logging (for input to computer G06F3/00) · CPC title

• G07C5/008 Primary

  communicating information to a remotely located station (transmission systems for measured values G08C) · CPC title

• G06F18/22

  Matching criteria, e.g. proximity measures · CPC title