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    Systems and methods for analyzing unmanned aerial missions
    3.
    发明授权
    Systems and methods for analyzing unmanned aerial missions 有权

    公开(公告)号：US11100589B1

    公开(公告)日：2021-08-24

    申请号：US15482280

    申请日：2017-04-07

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Todd Binion ,  Jennifer Criswell Kellett ,  Jeremy Carnahan ,  Matt Megyese

    IPC: G06Q40/00 ,  G06Q40/08

    Abstract: A system for analyzing unmanned aerial missions configured to (i) receive, from a user, pre-mission data for a planned unmanned aerial mission; (ii) determine an insurance policy, premium, rate, mission-based rate, or usage-based rate based upon the pre-mission data, one or more business rules, and a plurality of historical mission data; (iii) transmit, to the user, the insurance policy; (iv) receive acceptance of the insurance policy from the user; (v) receive a plurality of telematics information from the unmanned aerial mission; and (vi) update at least one of the one or more business rules and the plurality of historical mission data based upon the plurality of telematics information.

    Systems and methods for enhanced base map generation
    5.
    发明授权
    Systems and methods for enhanced base map generation 有权

    公开(公告)号：US11512955B1

    公开(公告)日：2022-11-29

    申请号：US17083850

    申请日：2020-10-29

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Jeremy Carnahan ,  Michael Stine McGraw ,  John Andrew Schirano

    IPC: G01C11/06 ,  G06T7/55 ,  G06F16/29 ,  G06T7/70 ,  G06T17/05 ,  G06V20/56

    Abstract: A feature mapping computer system configured to (i) receive a first localized image including a first photo and a first location; (ii) receive a second localized image including a second photo and a second location; (iii) identify a roadway feature depicted in both the first and second photos; (iv) generate, using a photogrammetry module, a point cloud based upon the first and second photos and first and second locations; (v) generate a localized point cloud by assigning a location to the point cloud based upon at least one of the first and second locations; and (vi) generate an enhanced base map that includes a roadway feature by embedding an indication of the identified roadway feature onto the localized point cloud.

    SYSTEMS AND METHODS FOR LABELING 3D MODELS USING VIRTUAL REALITY AND AUGMENTED REALITY
    6.
    发明申请
    SYSTEMS AND METHODS FOR LABELING 3D MODELS USING VIRTUAL REALITY AND AUGMENTED REALITY 有权

    公开(公告)号：US20220092854A1

    公开(公告)日：2022-03-24

    申请号：US17543105

    申请日：2021-12-06

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Bryan Nussbaum ,  Jeremy Carnahan ,  Ryan Knuffman

    IPC: G06T17/20 ,  G06T19/00 ,  G06K9/00 ,  G06F16/58 ,  H04W4/021

    Abstract: A computer-implemented method for labeling a three-dimensional (3D) model using virtual reality (VR) techniques implemented by a computer system including a processor is provided herein. The method may include (i) receiving a 3D model including an environmental feature that is unlabeled, (ii) displaying, through a VR device in communication with the processor, a VR environment to a user representing the 3D model, (iii) prompting a user to input labeling data for the environmental feature displayed within the VR environment of the VR device by prompting the user to select the environmental feature through user interaction with the VR device, and input labeling data for the environmental feature, wherein the labeling data identifies the environmental feature, and (iv) generating a labeled 3D model by embedding the labeling data associated with the selected environmental feature into the 3D model.

    Systems and methods for enhanced base map generation
    7.
    发明授权
    Systems and methods for enhanced base map generation 有权

    公开(公告)号：US10823562B1

    公开(公告)日：2020-11-03

    申请号：US16244925

    申请日：2019-01-10

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Jeremy Carnahan ,  Michael Stine McGraw ,  John Andrew Schirano

    IPC: G01C11/06 ,  G06K9/00 ,  G06T7/55 ,  G06T17/05 ,  G06F16/29 ,  G06T7/70

    Abstract: A feature mapping computer system configured to (i) receive a first localized image including a first photo and a first location; (ii) receive a second localized image including a second photo and a second location; (iii) identify a roadway feature depicted in both the first and second photos; (iv) generate, using a photogrammetry module, a point cloud based upon the first and second photos and first and second locations; (v) generate a localized point cloud by assigning a location to the point cloud based upon at least one of the first and second locations; and (vi) generate an enhanced base map that includes a roadway feature by embedding an indication of the identified roadway feature onto the localized point cloud.

    Using deep learning and structure-from-motion techniques to generate 3D point clouds from 2D data
    8.
    发明授权
    Using deep learning and structure-from-motion techniques to generate 3D point clouds from 2D data 有权

    公开(公告)号：US12223670B2

    公开(公告)日：2025-02-11

    申请号：US18355336

    申请日：2023-07-19

    Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

    Inventor： Ryan Knuffman ,  Jeremy Carnahan

    IPC: G06T7/579 ,  G06T15/20

    Abstract: A server includes a processor and a memory storing instructions that, when executed by the processor, cause the server to receive two-dimensional (2D) images, analyze the images using a trained deep network to generate points, process the labeled points to identify tie points, and combine the 2D dimensional images into a three-dimensional (3D) point cloud using structure-from-motion. A method for generating a semantically-segmented 3D point cloud from 2D data includes receiving 2D images, analyzing the images using a trained deep network to generate labeled points, processing the points to identify tie points, and combining the 2D images into a 3D point cloud using structure-from-motion. A non-transitory computer readable storage medium stores executable instructions that, when executed by a processor, cause a computer to receive 2D images, analyze the images using a trained deep network to generate labeled points, process the points to identify and combine tie points using structure-from-motion.

    Systems and methods for predictive modeling via simulation
    9.
    发明授权
    Systems and methods for predictive modeling via simulation 有权

    公开(公告)号：US12198197B2

    公开(公告)日：2025-01-14

    申请号：US17388907

    申请日：2021-07-29

    Applicant: State Farm Mutual Automobile Insurance Company

    Inventor： Bryan R. Nussbaum ,  Jeremy Carnahan ,  John A. Schirano ,  Vicki King ,  Mike McGraw

    IPC: G06Q40/08 ,  G06F17/18 ,  G06F30/20 ,  G06T17/05

    Abstract: Methods, systems, and computer readable media for predictively determining a risk of damage to a property are provided. To determine the risk, a high resolution virtual model of a region that includes the property is obtained. The virtual model is imported into a simulation environment. One or more of the simulation parameters are set based on historic weather data for the region. For example, each parameter may be associated with a probability distribution derived based on the historic weather data that is sampled prior to executing the simulation. One or more simulations are executed in accordance with the sampled inputs to simulate the likely weather patterns the property will experience. The result of the simulation is analyzed to determine the predicted risk of damage to the property.

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