IP Library › Granted Patent US 11,138,880
Granted Patent B2
US 11,138,880 · App. 16/634,206 · Granted Oct 5, 2021

Vehicle-sourced infrastructure quality metrics

Inventors: Kenneth L. Smith (White Bear Lake, MN); Justin M. Johnson (Hudson, WI); James B. Snyder (Minneapolis, MN); James W. Howard (Circle Pines, MN); Michael E. Hamerly (Vadnais Heights, MN); Onur Sinan Yordem (St. Paul, MN)
Assignee: 3M INNOVATIVE PROPERTIES COMPANY
G08G1/097E01C23/01G06Q50/26G06Q50/30G08G1/0112G08G1/09623G08G1/096708G08G1/096783
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Quick Facts
Patent No.
US 11,138,880
App. No.
16/634,206
Granted
Oct 5, 2021
Kind
B2
Abstract

In some examples, a computing device includes one or more computer processors, a communication device, and a memory comprising instructions that cause the one or more computer processors to: receive, using the communication device and from a set of vehicles, different sets of infrastructure data for a particular infrastructure article that is proximate to each respective vehicle of the set of vehicles, wherein each respective vehicle in the set of vehicles comprises at least one infrastructure sensor that generates infrastructure data descriptive of infrastructure articles that are proximate to the respective vehicle; determine, based at least in part on the different sets of infrastructure data for the particular infrastructure article from each respective vehicle of the set of vehicles, a quality metric for the infrastructure article; and perform at least one operation based at least in part on the quality metric for the infrastructure article.

Claims (32)

1. A computing device comprising:

one or more computer processors,

a communication device, and

a memory comprising instructions that when executed by the one or more computer processors cause the one or more computer processors to:

receive, using the communication device and from a set of vehicles, different sets of infrastructure data for a particular infrastructure article of a pathway that is proximate to each respective vehicle of the set of vehicles, wherein each respective vehicle in the set of vehicles comprises at least one infrastructure sensor that generates infrastructure data descriptive of infrastructure articles that are proximate to the respective vehicle;

determine, based at least in part on the different sets of infrastructure data for the particular infrastructure article from each respective vehicle of the set of vehicles, a quality metric for the infrastructure article of the pathway;

determine whether the infrastructure article is counterfeit; and

perform at least one operation based at least in part on the quality metric for the infrastructure article and perform at least one other operation based upon whether the infrastructure article is counterfeit.

2. The computing device of claim 1 , wherein the infrastructure data is at least one of raw data generated by the infrastructure sensor or an identifier of the infrastructure article.

3. The computing device of claim 1 , wherein the infrastructure data comprises an identifier of the infrastructure article and the infrastructure data indicates a confidence level that the identifier correctly identifies the type of the infrastructure article.

4. The computing device of claim 1 , wherein the infrastructure sensor comprises one or more of image sensor, LiDAR, acoustic, radar, GPS location of infrastructure article, time sensor for detection time of infrastructure article, weather sensor for weather measurement at the time infrastructure article is detected.

5. The computing device of claim 1 , wherein the quality metric for a particular article of infrastructure is based on sets of infrastructure data collected over a time series.

6. The computing device of claim 1 , wherein to perform the at least one operation, the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to generate a confidence score associated with the quality metric that indicates a degree of confidence that the quality metric is valid.

7. The computing device of claim 1 , wherein to perform the at least one operation, the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to, in response to a determination that the quality metric does not satisfy a threshold, send a message to a computing device associated with a custodian of the particular infrastructure article.

8. The computing device of claim 1 , wherein to perform the at least one operation, the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to, in response to a determination that the quality metric does not satisfy a threshold, send a message to a computing device associated with a vehicle manufacturer.

9. The computing device of claim 1 , wherein to perform the at least one operation, the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to determine that the quality metric is more than one standard deviation below the mean for similar infrastructure articles.

10. The computing device of claim 1 , wherein to perform the at least one operation, the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to determine an anomaly in a sensor of a vehicle or an environment of the vehicle.

11. The computing device of claim 1 , wherein to perform the at least one operation, the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to send an indication of the quality metric to at least one other vehicle for use to modify an operation of the at least one other vehicle in response to detection of the infrastructure article.

12. The computing device of claim 1 , wherein to perform the at least one operation, the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to determine the quality metric based at least in part on infrastructure data from a plurality of infrastructure sensors that are applied to a model that predicts the quality metric.

13. The computing device of claim 1 , wherein the infrastructure article is retroreflective.

14. The computing device of claim 1 ,

wherein the infrastructure data descriptive of infrastructure articles comprises a classification that is based at least in part on raw data generated by the infrastructure sensor, and

wherein the infrastructure data is generated at the respective vehicle.

15. The computing device of claim 1 , wherein to determine the quality metric for the infrastructure article, the memory comprises instructions that when executed by the one or more computer processors cause the one or more computer processors to select the different sets of infrastructure data from a set of infrastructure data generated by a larger number of vehicles than the set of vehicles.

16. The computing device of claim 1 ,

wherein the at least one infrastructure sensor of each respective vehicle generates raw data descriptive of infrastructure articles that are proximate to the respective vehicle;

wherein each respective vehicle includes at least one computer processor that pre-processes the raw data to generate the infrastructure data, wherein the infrastructure data comprises less data than the raw data.

17. The computing device of claim 16 ,

wherein the at least one computer processor, to generate the infrastructure data, generates a quality metric for at least one infrastructure article, and

wherein the at least one computer processor includes the quality metric in the infrastructure data.

18. The computing device of claim 1 , wherein the computing device is included within a vehicle.

19. The computing device of claim 1 , wherein the computing device is physically separate from the set of vehicles.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 27, 2020
From: SMITH, KENNETH L.; JOHNSON, JUSTIN M.; SNYDER, JAMES B.; HOWARD, JAMES W.; HAMERLY, MICHAEL E.; YORDEM, ONUR SINAN
To: 3M INNOVATIVE PROPERTIES COMPANY
Reel/Frame 051625/0499 →
Continuity (3)
Provisional Application 62565866 · Sep 29, 2017
Provisional Application 62597412 · Dec 11, 2017
Related Publication 20200219391A1 · Jul 9, 2020