IP Library Granted Patent US 12,085,946
Granted Patent B1
US 12,085,946 · App. 17/073,448 · Granted Sep 10, 2024

System and method for evaluating the performance of a vehicle operated by a driving automation system

Inventors: Theobolt N. Leung (San Francisco, CA); Eric Dahl (Newman Lake, WA)
Assignee: QUANATA, LLC
G05D1/0221B60W50/045G05D1/0088G07C5/085
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,085,946
App. No.
17/073,448
Granted
Sep 10, 2024
Kind
B1
Abstract

Methods and systems for assessing driving autonomous system (DAS) performance based on the telematics data, vehicle type, and/or driving environment. The methods and/or systems may receive driving data indicative of vehicle performance based on DAS operation of the vehicle during a time period; select a portion of the driving data related to at least one performance metric of the DAS operated vehicle during the time period; receive historical DAS performance data that includes at least one performance metric of a vehicle-type of DAS operated vehicle that includes the vehicle; analyze the selected portion of the driving data during the time period with the historical DAS performance data; calculate a DAS score for the vehicle based on the analysis of the selected portion of the driving data during the time period with the historical DAS performance data of the vehicle type; and adjust DAS operation of the vehicle based on the calculated DAS score for the vehicle.

Claims (52)

1. A computer-implemented method comprising:

receiving, by a mobile computing device, driving data indicative of a driving automation system (DAS) operation of a vehicle;

receiving, by the mobile computing device, historical DAS operation data of other vehicles of a vehicle type that includes the vehicle;

analyzing, by the mobile computing device, a portion of the driving data with the historical DAS operation data to calculate a DAS score for the vehicle;

receiving, by the mobile computing device, historical DAS rating data for the vehicle type, wherein the historical DAS rating data comprises a historical DAS score associated with the vehicle type;

analyzing, by the mobile computing device, the historical DAS score associated with the vehicle type with the DAS score for the vehicle to calculate a DAS rating for the vehicle; and

adjusting, by the mobile computing device, the DAS operation of the vehicle based upon the DAS rating for the vehicle.

2. The computer-implemented method of claim 1 , wherein the portion of the driving data is related to at least one performance metric of the DAS operation of the vehicle, the at least one performance metric including one or more of: a cornering metric, an acceleration metric, or a braking metric.

3. The computer-implemented method of claim 1 , wherein

analyzing the portion of the driving data with the historical DAS operation data includes comparing at least one performance metric of the DAS operation of the vehicle with a historical DAS performance scale of the at least one performance metric.

4. The computer-implemented method of claim 3 , wherein the historical DAS performance scale includes one or more of: a cornering scale, an acceleration scale, or a braking scale.

5. The computer-implemented method of claim 4 , wherein the historical DAS performance scale includes one or more thresholds.

6. The computer-implemented method of claim 1 , further comprising:

receiving, by the mobile computing device, driving context data indicative of a driving environment for the vehicle;

analyzing, by the mobile computing device, the portion of the driving data with a corresponding portion of the driving context data to calculate a driving context score for the vehicle; and

adjusting, by the mobile computing device, the DAS score for the vehicle based upon the driving context score for the vehicle.

7. The computer-implemented method of claim 6 , wherein the driving context data include one or more of: a weather condition, a visibility condition, a traffic condition, or a road condition.

8. A computer-implemented method comprising:

receiving, by a mobile computing device, driving data indicative of a driving automation system (DAS) operation of a vehicle;

receiving, by the mobile computing device, historical DAS operation data of other vehicles of a vehicle type that includes the vehicle;

receiving, by the mobile computing device, driving context data indicative of a driving environment for the vehicle;

analyzing, by the mobile computing device, a portion of the driving data with the historical DAS operation data;

analyzing, by the mobile computing device, the portion of the driving data with a corresponding portion of the driving context data;

calculating, by the mobile computing device, a DAS score for the vehicle based upon analyzing the portion of the driving data with the historical DAS operation data, and

analyzing the portion of the driving data with the corresponding portion of the driving context data;

receiving, by the mobile computing device, historical DAS rating data for the vehicle type, wherein the historical DAS rating data comprises a historical DAS score associated with the vehicle type

analyzing, by the mobile computing device, the historical DAS score associated with the vehicle type with the DAS score for the vehicle to calculate a DAS rating for the vehicle; and

adjusting, by the mobile computing device, the DAS operation of the vehicle based upon the DAS rating for the vehicle.

9. The computer-implemented method of claim 8 , wherein the portion of the driving data is related to at least one performance metric of the DAS operation of the vehicle, the at least one performance metric including one or more of: a cornering metric, an acceleration metric, or a braking metric.

10. The computer-implemented method of claim 8 , wherein

analyzing the portion of the driving data with the historical DAS operation data includes comparing at least one performance metric of the DAS operation of the vehicle with a historical DAS performance scale of the at least one performance metric.

11. The computer-implemented method of claim 10 , wherein the historical DAS performance scale includes one or more of: a cornering scale, an acceleration scale, or a braking scale.

12. The computer-implemented method of claim 11 , wherein the historical DAS performance scale includes one or more thresholds.

13. The computer-implemented method of claim 8 , wherein the driving context data include one or more of: a weather condition, a visibility condition, a traffic condition, or a road condition.

14. A mobile computing device comprising:

one or more processors; and

one or more memories including instructions, that when executed by the one or more processors, cause the mobile computing device to:

receive driving data indicative of a driving automation system (DAS) operation of a vehicle;

receive historical DAS operation data of other vehicles of a vehicle type that includes the vehicle;

analyze a portion of the driving data with the historical DAS operation data to calculate a DAS score for the vehicle;

receive, by the mobile computing device, historical DAS rating data for the vehicle type, wherein the historical DAS rating data comprises a historical DAS score associated with the vehicle type

analyze, by the mobile computing device, the historical DAS score associated with the vehicle type with the DAS score for the vehicle to calculate a DAS rating for the vehicle; and

adjust the DAS operation of the vehicle based upon the DAS seere rating for the vehicle.

15. The mobile computing device of claim 14 , wherein the portion of the driving data is related to at least one performance metric of the DAS operation of the vehicle, the at least one performance metric including one or more of: a cornering metric, an acceleration metric, or a braking metric.

16. The mobile computing device of claim 14 , wherein the one or more memories further include instructions, that when executed by the one or more processors, cause the mobile computing device to:

receive driving context data indicative of a driving environment for the vehicle;

analyze the portion of the driving data with a corresponding portion of the driving context data to calculate a driving context score for the vehicle; and

adjust the DAS score for the vehicle based upon the driving context score for the vehicle.

17. The mobile computing device of claim 16 , wherein the driving context data include one or more of: a weather condition, a visibility condition, a traffic condition, or a road condition.

18. The computer-implemented method of claim 8 , wherein the portion of the driving data is related to at least one performance metric of the DAS operation of the vehicle, the at least one performance metric including one or more of: a cornering metric, an acceleration metric, or a braking metric, and wherein analyzing the portion of the driving data with the historical DAS operation data includes comparing at least one performance metric of the DAS operation of the vehicle with a historical DAS performance scale of the at least one performance metric.

19. The mobile computing device of claim 14 , wherein analyzing the portion of the driving data with the historical DAS operation data includes comparing at least one performance metric of the DAS operation of the vehicle with a historical DAS performance scale of the at least one performance metric.

20. The mobile computing device method of claim 19 , wherein the historical DAS performance scale includes one or more of: a cornering scale, an acceleration scale, or a braking scale.

Assignments (2)
CHANGE OF NAME Recorded May 29, 2024
From: BLUEOWL, LLC
To: QUANATA, LLC
Reel/Frame 067558/0600 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 11, 2024
From: LEUNG, THEOBOLT N.; DAHL, ERIC
To: BLUEOWL, LLC
Reel/Frame 066714/0269 →
Continuity (1)
Continuation 16109187 · Aug 22, 2018
Cited By (1)
US 12,703,226