IP Library › Granted Patent US 10,410,291
Granted Patent B1
US 10,410,291 · App. 15/482,300 · Granted Sep 10, 2019

Systems and methods for analyzing unmanned aerial missions

Inventors: Todd Binion (Bloomington, IL); Jennifer Criswell Kellett (Bloomington, IL); Jeremy Carnahan (Bloomington, IL); Matt Megyese (Bloomington, IL)
Assignee: State Farm Mutual Automobile Insurance Company
G06Q40/08G01C23/00G07C5/008B64C39/024
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Quick Facts
Patent No.
US 10,410,291
App. No.
15/482,300
Filed
Apr 7, 2017
Granted
Sep 10, 2019
Kind
B1
Art Unit
3663
USPC
701/29.7
Abstract

A system for determining drone operation rules configured to (i) receive a plurality of telematics data from a plurality of missions; (ii) analyze the plurality of telematics data to determine one or more mission trends; and (iii) determine one or more rules based upon the one or more mission trends.

Claims (36)

1. A computer system for determining drone operation rules, the computer system including at least one processor in communication with at least one memory device, the at least one processor is programmed to:

receive a plurality of telematics data from a plurality of missions including one or more missions associated with drone accidents;

analyze the plurality of telematics data to determine one or more mission trends including the drone accidents;

generate, based on the plurality of telematics data, a scenario model of a drone accident that occurred, the scenario model comprising at least one cause of the accident;

determine one or more guidelines for safe mission operation based upon the one or more mission trends, the accident, the scenario model, and the at least one cause; and

transmit the one or more guidelines for safe mission operation to at least one user associated with a future mission.

2. The computer system of claim 1 , wherein the processor is further configured to determine at least one mission type based upon the plurality of telematics data.

3. The computer system of claim 2 , wherein the processor is further configured to calculate a risk profile for the at least one mission type based upon the one or more mission trends.

4. The computer system of claim 2 , wherein the processor is further configured to generate at least one of an insurance policy template, a usage-based or mission-based insurance premium, and a usage-based or mission-based insurance rate for the at least one mission type based upon the plurality of telematics data and the determined one or more trends.

5. The computer system of claim 1 , wherein each mission of the plurality of missions was an unmanned aerial drone mission.

6. The computer system of claim 1 , wherein the plurality of telematics data may include, but is not limited to, human or automated operation, operator identification, speed information, altitude information, any vehicle failures during the mission, any sensor failures during the mission, any software failures during the mission, any failure to respond to at least one of warnings and alerts, any overrides of automated modes, any safety interventions, on-board telemetry, diagnostics data, and data about any relevant objects external to the drone.

7. The computer system of claim 1 , wherein the processor is further configured to:

receive telematics data associated with the future mission;

analyze the telematics data to determine if the user operated based on the one or more guidelines; and

determine whether or not to issue a policy for a second future mission based on the determination.

8. The computer system of claim 1 , wherein the one or more guidelines include one or more of a recommended distance from a safety hazard, environmental features to be aware of, and methods of operation in different weather conditions.

9. A computer-based method for determining drone operation rules, the method implemented on an unmanned aerial mission monitoring (“UAMM”) server including at least one processor in communication with at least one memory device, the method comprising:

receiving, at the UAMM server, a plurality of telematics data from a plurality of missions including one or more missions associated with drone accidents;

analyzing, by the UAMM server, the plurality of telematics data to determine one or more mission trends including the drone accidents;

generating, based on the plurality of telematics data, a scenario model of a drone accident that occurred, the scenario model comprising at least one cause of the accident;

determining, by the UAMM server, one or more guidelines for safe mission operation based upon the one or more mission trends, the accident, the scenario model, and the at least one cause; and

transmitting the one or more guidelines to at least one user associated with a future mission.

10. The method of claim 9 further comprising determining at least one mission type based upon the plurality of telematics data.

11. The method of claim 10 further comprising calculating a risk profile for the at least one mission type based upon the one or more mission trends.

12. The method of claim 10 further comprising generating at least one of an insurance policy template, a usage-based or mission-based insurance premium, and a usage-based or mission-based insurance rate for the at least one mission type based upon the plurality of telematics data and the determined one or more trends.

13. The method of claim 9 , wherein each mission of the plurality of missions was an unmanned aerial drone mission.

14. The method of claim 9 , wherein the plurality of telematics data may include, but is not limited to, human or automated operation, operator identification, speed information, altitude information, any vehicle failures during the mission, any sensor failures during the mission, any software failures during the mission, any failure to respond to at least one of warnings and alerts, any overrides of automated modes, any safety interventions, on-board telemetry, diagnostics data, and data about any relevant objects external to the drone.

15. At least one non-transitory computer-readable storage media having computer-executable instructions embodied thereon, wherein when executed by at least one processor, the computer-executable instructions cause the processor to:

receive a plurality of telematics data from a plurality of missions including one or more missions associated with drone accidents;

analyze the plurality of telematics data to determine one or more mission trends including the drone accidents;

generate, based on the plurality of telematics data, a scenario model of a drone accident that occurred, the scenario model comprising at least one cause of the accident;

determine one or more guidelines for safe mission operation based upon the one or more mission trends, the accident, the scenario model, and the at least one cause; and

transmit the one or more guidelines to at least one user associated with a future mission.

16. The computer-readable storage media of claim 15 , wherein the computer-executable instructions further cause the processor to determine at least one mission type based upon the plurality of telematics data.

17. The computer-readable storage media of claim 16 , wherein the computer-executable instructions further cause the processor to calculate a risk profile for the at least one mission type based upon the one or more mission trends.

18. The computer-readable storage media of claim 16 , wherein the computer-executable instructions further cause the processor to generate at least one of an insurance policy template, a usage-based or mission-based insurance premium, and a usage-based or mission-based insurance rate for the at least one mission type based upon the plurality of telematics data and the determined one or more trends.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 7, 2017
From: BINION, TODD; KELLETT, JENNIFER CRISWELL; CARNAHAN, JEREMY; MEGYESE, MATTHEW S.
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 041933/0783 →
Continuity (2)
Provisional Application 62399041 · Sep 23, 2016
Provisional Application 62383127 · Sep 2, 2016
Cited By (6)
US 12,321,991 US 12,322,219 US 12,327,207 US 12,475,702 US 12,481,933 US 12,548,099