公开(公告)号：US20210295441A1

公开(公告)日：2021-09-23

申请号：US15628391

申请日：2017-06-20

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Christina P. Mullen ,  Jeffrey S. Myers ,  Andrew Karl Pulkstenis ,  Stephen Russell Prevatt ,  Robert T. Trefzger

IPC: G06Q40/08 ,  G05D1/02 ,  G08G1/052 ,  G08G1/056 ,  G08G1/00 ,  G01S7/41

Abstract: A computer-implemented method of determining an indication of whether a vehicle in a collision is a total loss. The method may include (1) receiving a first set of sensor data and telematics data associated with a first vehicle; (2) receiving a second set of sensor data and telematics data associated with a second vehicle; (3) determining a make, model, and age of the first vehicle; (4) determining a direction and an amount of a crash force exerted upon the first vehicle based upon the first and second sets of sensor data and telematics data; and (5) determining the indication of whether the first vehicle is a total loss based upon the make, model, and age of the first vehicle, and based upon the direction and amount of the crash force. By determining the indication of total loss based upon such data, time may be saved and resources may be conserved.

公开(公告)号：US20240394799A1

公开(公告)日：2024-11-28

申请号：US16916729

申请日：2020-06-30

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Christina P. Mullen ,  Jeffrey S. Myers ,  Andrew Karl Pulkstenis ,  Stephen Russell Prevatt ,  Robert T. Trefzger

IPC: G06Q40/08 ,  G05D1/02 ,  G08G1/00 ,  G08G1/052 ,  G08G1/056

Abstract: A computer-implemented method of determining an indication of whether a vehicle in a crash is a total loss. The method may include (1) receiving (i) image data, (ii) sensor data, and/or (iii) telematics or other data indicative of a direction of a crash force; (2) determining a type of geographic area in which the crash occurred; (3) determining a make, a model, and/or a year of the vehicle; and (4) determining the indication of whether the vehicle is a total loss based upon (i) (a) the image data, (b) the sensor data, and/or (c) the data indicative of the direction of the crash force, (ii) the type of geographic area, and (iii) the make, the model, and/or the year of the vehicle. By determining the indication of whether the vehicle is a total loss based upon such data and/or factors, time may be saved and resources may be conserved.

公开(公告)号：US12014423B1

公开(公告)日：2024-06-18

申请号：US15628367

申请日：2017-06-20

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Christina P. Mullen ,  Jeffrey S. Myers ,  Andrew Karl Pulkstenis ,  Stephen Russell Prevatt ,  Robert T. Trefzger

IPC: G06Q40/02 ,  G06Q40/08 ,  G06F11/00 ,  G06Q40/04

CPC classification number: G06Q40/08

Abstract: A computer-implemented method of determining an indication of whether a vehicle in a crash is a total loss. The method may include (1) receiving (i) image data, (ii) sensor data, and/or (iii) telematics or other data indicative of a direction of a crash force; (2) determining a type of geographic area in which the crash occurred; (3) determining a make, a model, and/or a year of the vehicle; and (4) determining the indication of whether the vehicle is a total loss based upon (i) (a) the image data, (b) the sensor data, and/or (c) the data indicative of the direction of the crash force, (ii) the type of geographic area, and (iii) the make, the model, and/or the year of the vehicle. By determining the indication of whether the vehicle is a total loss based upon such data and/or factors, time may be saved and resources may be conserved.

公开(公告)号：US20240160696A1

公开(公告)日：2024-05-16

申请号：US18241713

申请日：2023-09-01

Applicant: STATE FARM MUTUAL AUTOMOBILE INSURANCE COMPANY

Inventor： Forrestt Severtson ,  Xuehong Sun ,  Andrew Karl Pulkstenis ,  Sandra Kane

IPC: G06F18/2113 ,  G06F17/18

CPC classification number: G06F18/2113 ,  G06F17/18 ,  G06F18/27

Abstract: Techniques for automatically detecting pair-wise interaction effects among a large number of variables are provided. An example method includes obtaining a data set including data related to a target variable and each of a plurality of variables upon which the target variable depends; grouping the data related to each variable, of the plurality of variables, into a pre-determined number of groups of grouped variable values; analyzing the grouped variable values related to each variable as compared to the grouped variable values related to each other variable, of the plurality of variables, in order to determine a grouped variable interaction score for each pair of variables, of the plurality of variables; and identifying a pre-determined number of pairs of variables having the highest interaction scores, based on the grouped variable interaction score for each pair of variables.