State Farm Mutual Automobile Insurance Company

Kip Wilson

Nolan White

Alexander Cardona

Phillip Michael Wilkowski

David Frank

John Larson

Jovonni Lee Pharr

Achyutha Srinivas Mudunuri

Wallace Taylor

Mike Aviles

Jeremy Garavaglia

Jeremy Myers

Jennifer Criswell Kellett

An Ho

Jacob Simonson

Jerome Scott Trayer

Techniques for collecting, synchronizing, and displaying various types of data relating to a road segment enable, via one or more local or remote processors, servers, transceivers, and/or sensors, (i) enhanced and contextualized analysis of vehicle events by way of synchronizing different data types, relating to a monitored road segment, collected via various different types of data sources; (ii) enhanced and contextualized analysis of filed insurance claims pertaining to a vehicle incident at a road segment; (iii) advantageous machine learning techniques for predicting a level of risk assumed for a given vehicle event or a given road segment; (iv) techniques for accounting for region-specific driver profiles when controlling autonomous vehicles; and/or (v) improved techniques for providing a GUI to display collected data in a meaningful and contextualized manner.

Providing a GUI to enable analysis of time-synchronized data sets pertaining to a road segment

Synchronizing image data with either vehicle telematics data or infrastructure data pertaining to a road segment

An incident management system for managing an incident response may be provided. The incident management system may include an incident management (IM) computing device and a vehicle. The IM computing device may include a processor and memory, the processor may be programmed to receive a notification that an incident has occurred, the notification including sensor data and sub-system data. The processor may analyze the data to determine an incident response, the determination including categorizing the incident based on damage determined from the data. The processor may also identify a responding party based on the incident response and the category of the incident. The processor may further parse the data to generate a set of critical data. The critical data may be based on the responding party. The processor may transmit a message to the responding party including the critical data and the location of the vehicle.

Systems and methods for autonomous vehicle incident management and recertification

Synchronizing vehicle telematics data with infrastructure data pertaining to a road segment

A computer system for generating an insurance policy for a user includes a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (i) receiving, from a wearable electronic user device, biometric data associated with a user; (ii) analyzing, based upon a plurality of rules, the biometric data; (iii) determining a health score associated with the user, based in part upon the analysis of the biometric data, wherein the health score represents a likelihood that the user will maintain a level of health for a predefined period of time; (iv) retrieving terms and conditions for an insurance policy from a database based upon the health score; and (v) generating, based upon the determining, an insurance policy for the user based upon the terms and conditions.

Systems and methods for analyzing captured biometric data

A computer system for analyzing biometric data of a user collected from a plurality of user devices and used to generate an insurance policy for the user includes a processor and a non-transitory, tangible, computer-readable storage medium having instructions stored thereon that, in response to execution by the processor, cause the processor to perform operations including: (i) receiving, from a wearable electronic user device, biometric data associated with a user; (ii) analyzing, based upon a plurality of rules, the biometric data; (iii) determining a health score associated with the user, based in part upon the analysis of the biometric data, wherein the health score represents a likelihood that the user will maintain a level of health for a predefined period of time; (iv) retrieving terms and conditions for an insurance policy from a database based upon the health score; and (v) generating, based upon the determining, an insurance policy for the user based upon the terms and conditions.

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Cave Creek, AZ, United States of America

Kip Wilson