Autonomous vehicle operation feature monitoring and evaluation of effectiveness
원문보기
IPC분류정보
국가/구분
United States(US) Patent
등록
국제특허분류(IPC7판)
G06Q-040/08
G06Q-010/06
출원번호
US-0713266
(2015-05-15)
등록번호
US-9754325
(2017-09-05)
발명자
/ 주소
Konrardy, Blake
Christensen, Scott T.
Hayward, Gregory
Farris, Scott
출원인 / 주소
STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
대리인 / 주소
Marshall, Gerstein & Borun LLP
인용정보
피인용 횟수 :
29인용 특허 :
133
초록▼
Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, a virtual log of data regarding performance of the features in a non-test environment may be recorded durin
Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, a virtual log of data regarding performance of the features in a non-test environment may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and/or control decisions made by the features. The control decisions may include evasive maneuvers performed by the vehicle under the control of the features. The performance data in the virtual log may be used to determine risk levels associated with vehicle operation by the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.
대표청구항▼
1. A computer-implemented method of evaluating risk associated with an autonomous or semi-autonomous vehicle technology for a vehicle, the method comprising: collecting, by an on-board computer of the vehicle, a virtual log of actual driving performance of the autonomous or semi-autonomous vehicle t
1. A computer-implemented method of evaluating risk associated with an autonomous or semi-autonomous vehicle technology for a vehicle, the method comprising: collecting, by an on-board computer of the vehicle, a virtual log of actual driving performance of the autonomous or semi-autonomous vehicle technology from the vehicle during vehicle operation, wherein the actual driving performance includes each of the following virtual log entries for each of a plurality of control decisions at a plurality of times during vehicle operation: (i) an implemented control decision generated by the autonomous or semi-autonomous vehicle technology and implemented by the autonomous or semi-autonomous vehicle technology to control the vehicle, (ii) an unimplemented control decision generated by the autonomous or semi-autonomous vehicle technology but not implemented to control the vehicle, (iii) an indication of one or more environmental conditions, and (iv) a vehicle response to each implemented control decision;analyzing, by one or more processors, the virtual log entries based upon the vehicle responses to the implemented control decisions and predicted vehicle responses to the unimplemented control decisions;determining, by one or more processors, a rating of effectiveness of the autonomous or semi-autonomous vehicle technology in controlling the vehicle based upon the analysis of the virtual log entries;determining, by one or more processors, a risk level associated with the autonomous or semi-autonomous vehicle technology based at least in part upon the rating of effectiveness;determining, by one or more processors, an adjustment to an insurance policy based at least in part upon the determined risk level associated with the autonomous or semi-autonomous vehicle technology; andcausing, by one or more processors, the adjustment to the insurance policy to be implemented. 2. The method of claim 1, wherein the adjustment to the insurance policy includes one or more of generating, updating, or adjusting one or more of the following: a premium, a rate, a discount, a reward, a deductible, or a limit. 3. The method of claim 1, wherein the risk level indicates a risk of the vehicle being involved in a vehicle accident. 4. The method of claim 1, wherein determining the risk level is based at least in part upon analysis of one or more of the following indicated by the virtual log: (1) evasive maneuvers that the autonomous or semi-autonomous vehicle technology directed the vehicle to perform; or (2) operating conditions under which the evasive maneuvers were performed. 5. The method of claim 1, wherein determining the risk level is based at least in part upon analysis of one or more of the following indicated by the virtual log: (1) how the autonomous or semi-autonomous vehicle technology responded to driving behaviors of other drivers operating other vehicles near the vehicle; or (2) evaluating the responsiveness of the autonomous or semi-autonomous vehicle technology to the driving behavior of other drivers operating other vehicles near the vehicle. 6. A computer system for evaluating risk associated with an autonomous or semi-autonomous vehicle technology for a vehicle, comprising: one or more processors;one or more communication modules adapted to communicate data; anda 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 to: collect a virtual log of actual driving performance of the autonomous or semi-autonomous vehicle technology from the vehicle via the one or more communication modules, wherein the actual driving performance includes each of the following virtual log entries for each of a plurality of control decisions at a plurality of times during vehicle operation: (i) an implemented control decision generated by the autonomous or semi-autonomous vehicle technology and implemented by the autonomous or semi-autonomous vehicle technology to control the vehicle, (ii) an unimplemented control decision generated by the autonomous or semi-autonomous vehicle technology but not implemented to control the vehicle, (iii) an indication of one or more environmental conditions, and (iv) a vehicle response to each implemented control decision, wherein the virtual log of actual driving performance is collected by an on-board computer of the vehicle during vehicle operation;analyze the virtual log entries based upon the vehicle responses to the implemented control decisions and predicted vehicle responses to the unimplemented control decisions;determine a rating of effectiveness of the autonomous or semi-autonomous vehicle technology in controlling the vehicle based upon the analysis of the virtual log entries;determine a risk level associated with the autonomous or semi-autonomous vehicle technology based at least in part upon the rating of effectiveness;determine an adjustment to an insurance policy based at least in part upon the determined risk level associated with the autonomous or semi-autonomous vehicle technology; andcause the adjustment to the insurance policy to be implemented. 7. The computer system of claim 6, wherein the adjustment to the insurance policy includes one or more of generating, updating, or adjusting one or more of the following: a premium, a rate, a discount, a reward, a deductible, or a limit. 8. The computer system of claim 6, wherein the risk level indicates a risk of the vehicle being involved in a vehicle accident. 9. The computer system of claim 6, wherein the risk level is determined based at least in part upon analysis of one or more of the following indicated by the virtual log: (1) evasive maneuvers that the autonomous or semi-autonomous vehicle technology directed the vehicle to perform; or (2) operating conditions under which the evasive maneuvers were performed. 10. The computer system of claim 6, wherein the risk level is determined based at least in part upon analysis of one or more of the following indicated by the virtual log: (1) how the autonomous or semi-autonomous vehicle technology responded to driving behavior of other drivers operating other vehicles near the vehicle; or (2) evaluating the responsiveness of the autonomous or semi-autonomous vehicle technology to the driving behavior of other drivers operating other vehicles near the vehicle.
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