IP Library Granted Patent US 11,719,545
Granted Patent B2
US 11,719,545 · App. 17/082,393 · Granted Aug 8, 2023

Autonomous vehicle component damage and salvage assessment

Inventors: Blake Konrardy (Bloomington, IL); Scott T. Christensen (Salem, OR); Gregory Hayward (Bloomington, IL); Scott Farris (Bloomington, IL)
Assignees: HYUNDAI MOTOR COMPANY; KIA CORPORATION
G01C21/3461B60L53/36B60L58/12B60P3/12B60Q1/50B60R16/0234B60R21/0136B60R21/34B60R25/04B60R25/10B60R25/1001B60R25/102B60R25/104B60R25/252B60R25/255B60R25/305B60R25/31B60W10/04B60W10/18B60W10/20B60W30/0956B60W30/12B60W30/16B60W30/18163B60W40/04G01B21/00G01C21/34G01C21/343G01C21/3415G01C21/3438G01C21/3453G01C21/3469G01C21/362G01C21/3617G01C21/3697G01S19/13G05B15/02G05B23/0245G05D1/0011G05D1/0055G05D1/0061G05D1/0088G05D1/0212G05D1/0214G05D1/0231G05D1/0255G05D1/0285G05D1/0287G05D1/0289G05D1/0293G05D1/0295G06F16/2455G06F17/00G06F21/32G06F21/55G06F30/15G06F30/20G06Q10/1095G06Q10/20G06Q30/0284G06Q30/0645G06Q40/08G06Q50/163G06Q50/30G07C5/006G07C5/008G07C5/0808G07C5/0816G07C5/0841G07C9/00563G08B21/00G08B21/02G08B21/18G08B25/00G08B25/014G08G1/017G08G1/0965G08G1/146G08G1/148G08G1/161G08G1/166G08G1/167G08G1/20H04L12/2803H04L12/2816H04L12/2825H04L67/306B60R2021/0027B60R2021/01013B60R2025/1013G01S19/42G05D2201/0212G05D2201/0213G06F2221/034G06N20/00H04L67/12
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Quick Facts
Patent No.
US 11,719,545
App. No.
17/082,393
Granted
Aug 8, 2023
Kind
B2
Abstract

Methods and systems for assessing, detecting, and responding to malfunctions involving components of autonomous vehicle and/or smart homes are described herein. Autonomous operation features and related components can be assessed using direct or indirect data regarding operation. Such assessment may be performed to determine the condition of components for salvage following a collision or other loss-event. To this end, the information regarding a plurality of components may be received. A component of the plurality of components may be identified for assessment. Assessment may including causing test signals to be sent to the identified component. In response to the test signal, one or more responses may be received. The received response may be compared to an expected response to determine whether the identified component is salvageable.

Claims (53)

1. A computer-implemented method of assessing salvage potential for an autonomous vehicle following damage to the autonomous vehicle, comprising:

applying, by one or more processors, one or more test signals to one or more components of a plurality of components associated with autonomous operation features of the autonomous vehicle in response to an event;

detecting, at one or more processors, one or more responses from the one or more components in response to the one or more test signals;

obtaining, by one or more processors, one or more expected responses from the one or more components based upon the received information; and

determining, by one or more processors, whether each of the one or more components is salvageable based upon a comparison between the detected responses and the expected responses.

2. The computer-implemented method of claim 1 , wherein determining whether a component of the one or more components is salvageable includes:

comparing, by one or more processors, a detected response from the one or more responses that is associated with the component against an expected response from the one or more responses that is associated with the component, and

determining, by one or more processors, the component is salvageable if the response is within a range including the expected response and indicative of proper functioning of the component.

3. The computer-implemented method of claim 1 , wherein determining whether a component of the one or more components is salvageable includes determining whether the component is damaged.

4. The computer-implemented method of claim 1 , wherein:

at least one of the responses from the one or more components is an implied response based upon an absence of a signal from at least one of the one or more components;

the at least one of the one or more components is determined to be damaged based upon the implied response; and

the at least one of the one or more components is determined not to be salvageable based upon the determination that the at least one of the one or more components is damaged.

5. The computer-implemented method of claim 1 , wherein the one or more processors are disposed within a computing device communicatively connected to an onboard computer of the autonomous vehicle.

6. The computer-implemented method of claim 5 , wherein the computing device is a special-purpose computing device and is communicatively connected to the on-board computer via an on-board communication port.

7. The computer-implemented method of claim 5 , wherein the computing device is a mobile computing device and is communicatively connected to the on-board computer via a wireless connection.

8. The computer-implemented method of claim 1 , wherein the one or more processors are disposed within an on-board computer configured to operate the autonomous vehicle.

9. The computer-implemented method of claim 8 , wherein the on-board computer is controlled to assess the salvage potential by a special-purpose computing device communicatively connected to the on-board computer via a data port of the autonomous vehicle.

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

receiving, at one or more processors, operating data associated with operation of the autonomous vehicle at a time associated with the damage to the autonomous vehicle; and

determining, by one or more processors, a preliminary assessment of the salvage potential for the autonomous vehicle based upon the received operating data, wherein the one or more components of the plurality of components are identified based upon the determined preliminary assessment.

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

determining, by one or more processors, an estimated level of damage associated with one or more additional components based upon the detected responses and the expected responses from the one or more components, wherein the one or more additional components are vehicle components of the autonomous vehicle that are not sensors or autonomous operation features; and

determining, by one or more processors, whether each of the one or more additional components is salvageable based upon the estimated level of damage associated with the one or more additional components.

12. The computer-implemented method of claim 11 , wherein determining the estimated level of damage associated with the one or more additional components includes determining a damaged area of the autonomous vehicle.

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

determining, by one or more processors, whether the autonomous vehicle is a total loss based upon the determination regarding whether each of the one or more components is salvageable.

14. A computer system configured to assess salvage potential for an autonomous vehicle following damage to the autonomous vehicle, comprising:

one or more processors;

one or more transceivers adapted to communicate with a plurality of components associated with autonomous operation features of the autonomous vehicle; and

a non-transitory program memory coupled to the one or more processors and storing executable instructions that, when executed by the one or more processors, cause the computer system to:

apply one or more test signals to one or more components of a plurality of components associated with autonomous operation features of the autonomous vehicle in response to an event;

detect one or more responses from the one or more components in response to the one or more test signals;

obtain one or more expected responses from the one or more components based upon the received information; and

determine whether each of the one or more components is salvageable based upon a comparison between the detected responses and the expected responses.

15. The computer system of claim 14 , wherein to determine whether a component of the one or more components is salvageable, the instructions, when executed by the one or more processors, further cause the computer system to:

compare a detected response from the one or more responses that is associated with the component against an expected response from the one or more responses that is associated with the component, and

determine the component is salvageable if the response is within a range including the expected response and indicative of proper functioning of the component.

16. The computer system of claim 14 , wherein:

at least one of the responses from the one or more components is an implied response based upon an absence of a signal from at least one of the one or more components;

the at least one of the one or more components is determined to be damaged based upon the implied response; and

the at least one of the one or more components is determined not to be salvageable based upon the determination that the at least one of the one or more components is damaged.

17. The computer system of claim 14 , wherein the instructions, when executed by the one or more processors, further cause the computer system to:

determine an estimated level of damage associated with one or more additional components based upon the detected responses and the expected responses from the one or more components, wherein the one or more additional components are vehicle components of the autonomous vehicle that are not sensors or autonomous operation features; and

determine whether each of the one or more additional components is salvageable based upon the estimated level of damage associated with the one or more additional components.

18. The computer system of claim 17 , wherein to determine the estimated level of damage associated with the one or more additional components, the instructions, when executed by the one or more processors, further cause the computer system to:

determine a damaged area of the autonomous vehicle.

19. The computer system of claim 14 , the instructions, when executed by the one or more processors, further cause the computer system to:

determine whether the autonomous vehicle is a total loss based upon the determination regarding whether each of the one or more components is salvageable.

20. A non-transitory computer-readable storage medium storing processor executable instructions, that when executed cause one or more processors to:

detect one or more responses from one or more components of a plurality of components associated with autonomous operation features of the autonomous vehicle in response to the one or more test signals;

obtain one or more expected responses from the one or more components based upon the received information; and

determine whether each of the one or more components is salvageable based upon the detected responses and the expected responses.

Assignments (3)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jan 6, 2023
From: HYUNDAI; KIA
To: HYUNDAI MOTOR COMPANY; KIA CORPORATION
Reel/Frame 062290/0655 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Dec 22, 2022
From: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
To: HYUNDAI; KIA
Reel/Frame 062190/0037 →
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 24, 2021
From: KONRARDY, BLAKE; CHRISTENSEN, SCOTT T.; HAYWARD, GREGORY; FARRIS, SCOTT
To: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
Reel/Frame 056029/0650 →
Continuity (38)
Continuation 16033950 · Jul 12, 2018
Continuation 15409340 · Jan 18, 2017
Provisional Application 62434361 · Dec 14, 2016
Provisional Application 62434359 · Dec 14, 2016
Provisional Application 62434370 · Dec 14, 2016
Provisional Application 62434365 · Dec 14, 2016
Provisional Application 62434355 · Dec 14, 2016
Provisional Application 62434368 · Dec 14, 2016
Provisional Application 62430215 · Dec 5, 2016
Provisional Application 62428843 · Dec 1, 2016
Provisional Application 62424078 · Nov 18, 2016
Provisional Application 62424093 · Nov 18, 2016
Provisional Application 62418988 · Nov 8, 2016
Provisional Application 62419017 · Nov 8, 2016
Provisional Application 62419099 · Nov 8, 2016
Provisional Application 62419002 · Nov 8, 2016
Provisional Application 62419023 · Nov 8, 2016
Provisional Application 62418999 · Nov 8, 2016
Provisional Application 62415673 · Nov 1, 2016
Provisional Application 62415678 · Nov 1, 2016
Provisional Application 62415672 · Nov 1, 2016
Provisional Application 62415668 · Nov 1, 2016
Provisional Application 62406605 · Oct 11, 2016
Provisional Application 62406595 · Oct 11, 2016
Provisional Application 62406600 · Oct 11, 2016
Provisional Application 62406611 · Oct 11, 2016
Provisional Application 62381848 · Aug 31, 2016
Provisional Application 62380686 · Aug 29, 2016
Provisional Application 62376044 · Aug 17, 2016
Provisional Application 62373084 · Aug 10, 2016
Provisional Application 62351559 · Jun 17, 2016
Provisional Application 62349884 · Jun 14, 2016
Provisional Application 62312109 · Mar 23, 2016
Provisional Application 62303500 · Mar 4, 2016
Provisional Application 62302990 · Mar 3, 2016
Provisional Application 62287659 · Jan 27, 2016
Provisional Application 62286017 · Jan 22, 2016
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