State Farm Mutual Automobile Insurance Company

Alexander Cardona

Erin Ann Olander

John Andrew Schirano

Nolan White

Kip Wilson

Phillip Michael Wilkowski

David Frank

An Ho

Dana C Hunt

Jerome Scott Trayer

Scott T Christensen

Jaime Skaggs

Tim G Sanidas

Timothy J Nickel

James P Rodriguez

Pamela Rearden

David Dohrmann

Karthikeyan Srinivasan

Thomas Hilton Jannusch

Matthew S Megyese

Anna Zarkoob

Arsh Singh

Systems and methods disclosed herein relates generally to using augmented reality (AR) for visualizing recommended updates to devices proximate a structure. In some examples, underlay layer data may be received (e.g., from a camera of an AR viewer device); and overlay layer data may be received (e.g., from a different camera or other overlay layer device). An AR display may be created by correlating the underlay layer data with the overlay layer data. An improved home score indicia may be displayed based upon the recommended update.

Augmented reality system to provide recommendation to repair or replace an existing device to improve home score

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

An autonomous vehicle (AV) including a vehicle body, and a vehicle computing device is provided. The vehicle computing device includes a processor in communication with a memory device. The processor is configured to identify a time and a geographic location of a traffic collision involving the AV, retrieve map data and contextual data associated with the time and the geographic location of the traffic collision, retrieve vehicle telematics data collected by sensors coupled to the vehicle body, determine for each of a plurality of moments in time during the traffic collision a position and an orientation of the AV during the traffic collision, generate a simulation of the traffic collision including a representation of the AV based upon the map data, the contextual data, and the vehicle telematics data, and provide content to enable display of the simulation on a display device.

Systems and methods for modeling and simulation in vehicle forensics

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

Systems and methods for determining the effectiveness of vehicle safety features are provided. Vehicle build information (VBI) for vehicles manufactured by a plurality of OEMs may be obtained. The VBI may contain OEM-specific terminology for smart safety features associated with each vehicle. The obtained VBI may be analyzed to generate an ontology model mapping each feature to any OEM-specific terminology associated with the feature. The ontology model may be applied to the VBI to generate translated VBI for each vehicle, such that the OEM-specific terminology associated with each feature is replaced with OEM-agnostic terminology for the feature. Vehicle accident record information may be obtained for each vehicle, including, e.g., the number, frequency, severity, etc. of accidents associated with each vehicle. Using the OEM-agnostic terminology for each feature associated with each vehicle and the vehicle accident information for each vehicle, an effectiveness score associated with each feature may be calculated.

Systems and methods of determining effectiveness of vehicle safety features

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

In one aspect, a graphical user interface (GUI) for a dynamic model creation (DMC) system may be provided. The GUI may include: (i) a first display area programmed to display the at least one model including a visual representation of a determined location where a collision occurred, and/or (ii) a second display area programmed to display at least one data table corresponding to the at least one model, wherein movement of a visual representation of a vehicle on the GUI during a simulation of the at least one model is controlled at least by telematics data, and wherein the GUI is configured to receive user inputs such that the visual representations in the first display area and the at least one data table in the second display area are dynamically modifiable by a user.

Systems and methods for dynamically creating and adjusting scene models

A vehicle forensics analytics ('VFA') computing device is configured to: (1) determine a time and a location of a traffic collision; (2) retrieve map data and contextual data associated with the time and the location of the traffic collision; (3) receive speech data, the speech data corresponding to a statement given by a witness of the traffic collision; (4) parse the speech data for phrases describing the traffic collision; (5) determine, based upon the parsed speech data, for each of a plurality of moments in time during the traffic collision, a position and an orientation of a vehicle involved in the traffic collision; (6) generate a simulation including a representation of the vehicle involved in the traffic collision based upon the map data, the contextual data, and the determined position and orientation for each of the plurality of moments in time; and (7) display the simulation to reconstruct the collision.

A computer-implemented method for providing user interaction data associated with a property is presented. A plurality of dimensions associated with a portion of the property may be determined. Image data associated with the portion of the property may be determined using an image sensor. The plurality of dimensions associated with the portion of the property may be associated with the image data associated with the portion of the property to generate the user interaction data associated with the property. The user interaction data may be provided via a user interface. The user interaction data may allow a user of the user interface to view at least one image of the portion of the property. The at least one image may be based on the plurality of dimensions associated with the portion of the property and the image data associated with the portion of the property.

Providing user interaction data associated with a property

Systems and methods for analyzing image data depicting portions of properties are disclosed. According to certain aspects, an electronic device may analyze image data depicting a portion of a property to identify a set of elements and a set of characteristics associated therewith. The electronic device may access a desired set of characteristics and may calculate a monetary amount associated with modifying the set of elements to achieve the desired set of characteristics.

Real property image analysis system to analyze property repairs and improvements

Growing community of inventors

Bloomington, IL, United States of America

Alexander Cardona