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US Patent 9852475 Accident risk model determination using autonomous vehicle operating data

Patent 9852475 was granted and assigned to State Farm on December, 2017 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent
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Patent attributes

Patent Applicant
State Farm
State Farm
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Current Assignee
State Farm
State Farm
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
98524750
Patent Inventor Names
Gregory Hayward0
Blake Konrardy0
Scott Farris0
Scott T. Christensen0
Date of Patent
December 26, 2017
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Patent Application Number
147132140
Date Filed
May 15, 2015
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Patent Citations Received
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US Patent 11659368 Method for mobile device-based cooperative data capture
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US Patent 11656978 Virtual testing of autonomous environment control system
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US Patent 11662732 Systems and methods for evaluating autonomous vehicle software interactions for proposed trips
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US Patent 11669090 Autonomous vehicle operation feature monitoring and evaluation of effectiveness
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US Patent 11682244 Smart home sensor malfunction detection
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US Patent 11710188 Autonomous communication feature use and insurance pricing
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0
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US Patent 11775010 System and method for assessing device usage
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Patent Primary Examiner
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Eric T Wong
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Patent abstract

Methods and systems for evaluating the effectiveness of autonomous operation features of autonomous vehicles using an accident risk model are provided. According to certain aspects, an accident risk model may be determined using effectiveness information regarding autonomous operation features associated with a vehicle. The effectiveness information may indicate a likelihood of an accident for the vehicle and may include test data or actual loss data. Determining the likelihood of an accident may include determining risk factors for the features related to the ability of the features to make control decisions that successfully avoid accidents. The accident risk model may further include information regarding effectiveness of the features relative to location or operating conditions, as well as types and severity of accidents. The accident risk model may further be used to determine or adjust aspects of an insurance policy associated with an autonomous vehicle.

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