State Farm Mutual Automobile Insurance Company

Nearmap Us, Inc.

An Ho

Bryan R Nussbaum

Rebecca Ann Little

Nathan Carl Summers

Kevin Lee Mitchell

Vicki King

Deanna L Stockweather

Jacob Simonson

Jerome Scott Trayer

Alexander Cardona

Tyler Reeves

Jeremy Myers

Jennifer Criswell Kellett

Kip Wilson

Kevin L Mitchell

This application discloses methods, systems, and computer-implemented virtualization software applications and computer-implemented graphical user interface tools for remote virtual visualization of structures. Images are captured by an imaging vehicle of a structure and the captured images are transmitted to a remote server via a communication network. Using virtual 3D digital modeling software the server, using the images received from the imaging vehicle, generates a virtual 3D digital model of the structure and stores it in a database. This virtual 3D digital model can be accessed by remote users, using virtualization software applications, and used to view images of the structure. The user is able to manipulate the images and to view them from various perspectives and compare the before-the-damage images with images taken after damage have occurred. Based on all this the user is enabled to remotely communicate with an insurance agent and/or file an insurance claim.

Method and system for remote virtual visualization of physical locations

Methods and systems for assessing property based on predictive analytics techniques that use external data are described herein. A server may identify a reference set of information for a reference property evaluated with a reference risk score in accordance with a risk score rule that meets a predetermined threshold. The server may obtain an external data file from an external data source, wherein the external data file includes an external set of information for a prospective property. The server may compare the reference set of information with the external set of information to identify a common feature, condition, or attribute, and if identified, may evaluate the prospective property by determining a predicted risk score based on the external set of information in accordance with the risk score rule. If the predicted risk score is determined to meet the threshold, the server may indicate the prospective property as pre-approved.

Predictive analytics for assessing property using external data

Methods and systems for developing virtual models and assessing a condition of a feature of a modeled property within a virtual environment are described herein. A server may receive a data request from a user electronic device. The data request may comprise a property of interest located in an overall region. The server may then dynamically acquire a virtual model for rendering the property within a virtual environment at the user electronic device based on the data request. The server may then determine to assess a condition of the feature associated with the property represented in the virtual model in accordance with rules. The condition of the feature is relevant to assessing risks associated with the one or more properties. The server may subsequently obtain an assessment of the condition associated with the feature of the property based on a representation of the condition within the virtual environment.

Method and system for identifying conditions of features represented in a virtual model

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

Methods and system for guiding user data capture during a scan of a vehicle using a mobile device are disclosed. A user may scan a vehicle using a camera or other sensors of the mobile device to capture data from which a three-dimensional virtual model may be generated. During the scanning process, models may be generated and evaluated according to quality metrics. Visual cues may be determined and presented to the user during scanning to indicate areas sufficiently scanned or areas requiring additional scanning to meet data quality requirements for model generation. Damage to vehicle components may be identified by analysis of the generated model, and addition data capture or user annotation entry may be directed based upon the identified damage.

Guided vehicle capture for virtual mode generation

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

Computer implemented methods and systems for deploying response vehicles based on a virtual environment. A server may obtain a virtual model of an overall region wherein the virtual model was generated based upon a plurality of images captured by a remote imaging vehicle. The server may then provide the virtual model to a user electronic device for rendering in a virtual environment. The server may then determine a target location within the overall region at which the response vehicle should be deployed and generate a route for the response vehicle to follow. The route may be based on damage indicated by the virtual model of the overall region. The server may then provide the route to the user electronic device and/or the response vehicle.

Methods and systems for response vehicle deployment

Methods and systems for populating overlays within a virtual environment. An example method includes obtaining a virtual reality model of an overall region; accessing a plurality of records associated with respective ones of a plurality of properties modeled in the virtual reality model, wherein each of the plurality of records represents a respective status of a respective insurance claim for the respective property, and wherein all of the insurance claims are related to a same damage-causing event for the overall region; generating a plurality of overlays for respective ones of the plurality of records, wherein each of the plurality of overlays depicts the status of the claim for the respective property; and causing the pluralities of overlays to be rendered in a virtual environment for the virtual reality model at substantially the same time.

Method and system for visualizing overlays in virtual environments

Guided vehicle capture for virtual model generation

Systems and methods for facilitating virtual collaboration between users within virtual environments are disclosed. A plurality of users access a collaborative virtual environment system at various times using interface devices to establish an asynchronous virtual collaboration session in which users collaborate in real-time and/or asynchronously. To enable asynchronous collaboration, data from virtual collaboration session is stored and presented to later users, including user movements and interactions with the environment, user annotation, and audio communications or comments. Other users may then access the data at a later time, and later user interactions, annotations, and audio may likewise be stored for further review by other users.

Asynchronous virtual collaboration environments

Systems and methods for facilitating virtual collaboration between users within virtual environments are disclosed. A plurality of users access a collaborative virtual environment system using interface devices with varying capabilities to establish a virtual collaboration session in which users communicate via a bidirectional real-time communication channel and interact within a virtual environment. Annotations or other user interactions within the virtual environment are automatically propagated to each user in the virtual collaboration session in order to facilitate collaboration. Data from such virtual collaboration sessions may be captured for later use.

Growing community of inventors

Phoenix, AZ, United States of America

An Ho