Patents by Inventor Angela Glusick

Angela Glusick has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230406329
    Abstract: The following relates generally to determining effectiveness of an update to a vehicle feature. In some embodiments, information indicating an update to a vehicle feature, and accident record information may be received. A first dataset from before the update was implemented in the vehicle, and a second dataset from after the update was implemented in the vehicle may then be constructed. An effectiveness score may then be calculated based upon the first and second datasets.
    Type: Application
    Filed: September 6, 2023
    Publication date: December 21, 2023
    Inventors: Jaime Skaggs, Jody Ann Thoele, Angela Glusick
  • Patent number: 11787422
    Abstract: The following relates generally to determining effectiveness of an update to a vehicle feature. In some embodiments, information indicating an update to a vehicle feature, and accident record information may be received. A first dataset from before the update was implemented in the vehicle, and a second dataset from after the update was implemented in the vehicle may then be constructed. An effectiveness score may then be calculated based upon the first and second datasets.
    Type: Grant
    Filed: September 9, 2022
    Date of Patent: October 17, 2023
    Assignee: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY
    Inventors: Jaime Skaggs, Jody Thoele, Angela Glusick
  • Publication number: 20230177892
    Abstract: Systems and methods for determining the effectiveness of vehicle safety features are provided. Vehicle data is obtained for vehicles having various smart safety features, and a list of translated vehicle build records is generated from the obtained data applying OEM-agnostic terminology for the smart safety features. A machine learning algorithm may be trained to generate an effectiveness score associated with one or more smart safety features, at least by analyzing a plurality of translated vehicle build records, vehicle telematics data, and vehicle accident records associated with each of the plurality of vehicles.
    Type: Application
    Filed: April 1, 2022
    Publication date: June 8, 2023
    Inventors: Jody Ann Thoele, Jaime Skaggs, Scott Thomas Christensen, Ashish Sawhney, Neill Broadstone, Angela Glusick, Gustufus Phillip Theofanis
  • Publication number: 20230154254
    Abstract: Systems and methods for building a vehicle data repository (VDR) are provided. In some embodiments, the VDR is constructed by adding standardized build sheets to it. The standardized build sheets may be constructed by selecting data from various data sources (e.g., original equipment manufacturer (OEM) databases, National Highway Traffic Safety Administration (NHTSA) databases, Highway Loss Data Institute (HLDI) databases, and/or Insurance Institute for Highway Safety (IIHS) databases). Furthermore, a common ontology may be created and applied to the various data sources to aide in the selection of data between the data sources to construct the standardized build sheets.
    Type: Application
    Filed: February 16, 2022
    Publication date: May 18, 2023
    Inventors: Jody Ann Thoele, Jaime Skaggs, Scott Thomas Christensen, Ashish Sawhney, Neill Broadstone, Angela Glusick, Gustufus Phillip Theofanis
  • Publication number: 20230153766
    Abstract: Systems and methods for determining a reparability of a vehicle are provided. In some embodiments, vehicle data is obtained, and a list of variables is generated from the obtained data. A machine learning algorithm may then be trained to generate a reparability metric by: (i) generating correlation metrics between the variables and costs to repair the vehicle, (ii) removing variables with correlation metrics below a threshold, and (iii) training the machine learning algorithm based upon unremoved variables.
    Type: Application
    Filed: February 16, 2022
    Publication date: May 18, 2023
    Inventors: Jody Ann Thoele, Jaime Skaggs, Scott Thomas Christensen, Ashish Sawhney, Neill Broadstone, Angela Glusick, Gustufus Phillip Theofanis
  • Publication number: 20230001936
    Abstract: The following relates generally to determining effectiveness of an update to a vehicle feature. In some embodiments, information indicating an update to a vehicle feature, and accident record information may be received. A first dataset from before the update was implemented in the vehicle, and a second dataset from after the update was implemented in the vehicle may then be constructed. An effectiveness score may then be calculated based upon the first and second datasets.
    Type: Application
    Filed: September 9, 2022
    Publication date: January 5, 2023
    Inventors: Jaime Skaggs, Jody Thoele, Angela Glusick
  • Publication number: 20230005304
    Abstract: The following relates generally to tracking effectiveness of an update to a vehicle feature using a distributed ledger. In some embodiments, a distributed ledger including a vehicle feature is added to or constructed. Information indicating an update to the vehicle feature, and accident record information may then be received. A first dataset from before the update was implemented in the vehicle, and a second dataset from after the update was implemented in the vehicle may then be constructed. An effectiveness score may then be calculated based upon the first and second datasets, and added to the distributed ledger.
    Type: Application
    Filed: September 9, 2022
    Publication date: January 5, 2023
    Inventors: Jaime Skaggs, Jody Thoele, Angela Glusick