Systems and methods for system generated damage analysis
Abstract
A system, includes at least one processor and memory storing instructions that, when executed by the at least one processor, cause the system to perform operations. The operations include receiving, from a sensor associated with an object, sensor data; determining, based on the sensor data, a damage model indicating a severity of one or more damage elements; determining, based on the sensor data, scene data identifying a geographic location; and generating, by at least one machine classifier, event interpretation data for each of the one or more damage elements, wherein the event interpretation data is based on the sensor data, the damage model, and the scene data.
Claims
exact text as granted — not AI-modifiedWhat is claimed is:
1 . A system, comprising:
at least one processor; and memory storing instructions that, when executed by the at least one processor, cause the system to perform operations comprising:
receiving, from a sensor associated with an object, sensor data;
determining, based on the sensor data, a damage model indicating a severity of one or more damage elements;
determining, based on the sensor data, scene data identifying a geographic location; and
generating, by at least one machine classifier, event interpretation data for each of the one or more damage elements, wherein the event interpretation data is based on the sensor data, the damage model, and the scene data.
2 . The system of claim 1 , wherein the damage model further indicates a point of impact for each of the one or more damage elements.
3 . The system of claim 1 , wherein the operations further comprise obtaining additional information regarding the geographic location, the additional information comprising at least one of a road type, an intersection type, a speed limit, a road condition, or weather information.
4 . The system of claim 1 , wherein:
the sensor data comprises image data of the one or more damage elements; and the damage model is based on the image data.
5 . The system of claim 1 , wherein the event interpretation data comprises:
a confidence metric comprising a likelihood of liability for the one or more damage elements, an indication of how the one or more damage elements occurred, and an indication of a party that is at fault.
6 . The system of claim 1 , wherein the operations further comprise obtaining satellite image data for the geographic location.
7 . The system of claim 1 , wherein the operations further comprise:
generating a scene rendering for the geographic location based on the event interpretation data and the satellite image data; generating a user interface comprising the scene rendering and the event interpretation data; and providing the user interface.
8 . The system of claim 1 , wherein the sensor data comprises information regarding operation of a vehicle including at least one of a speed, an acceleration, the geographic location, or impact data from an impact sensor.
9 . A computer-implemented method comprising:
receiving, from a sensor associated with an object, sensor data; determining, based on the sensor data, scene data identifying a geographic location; determining, by at least one machine classifier, a damage model indicating a severity of one or more damage elements, wherein the damage model is based on the sensor data; and generating, by the at least one machine classifier, event interpretation data for each of the one or more damage elements, wherein the event interpretation data is based on the sensor data, the damage model, and the scene data.
10 . The computer-implemented method of claim 9 , wherein the damage model further indicates a point of impact for each of the one or more damage elements.
11 . The computer-implemented method of claim 9 , further comprising obtaining additional information regarding the geographic location, the additional information comprising at least one of a road type, an intersection type, a speed limit, a road condition, or weather information.
12 . The computer-implemented method of claim 9 , wherein the event interpretation data comprises:
a confidence metric comprising a likelihood of liability for the one or more damage elements, an indication of how the one or more damage elements occurred, and an indication of a party that is at fault.
13 . The computer-implemented method of claim 9 , further comprising obtaining satellite image data for the geographic location.
14 . The computer-implemented method of claim 9 , further comprising:
generating a scene rendering for the geographic location based on the event interpretation data and the satellite image data; generating a user interface comprising the scene rendering and the event interpretation data; and providing the user interface.
15 . Non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to perform operations comprising:
receiving, from a sensor associated with a vehicle, sensor data regarding operation of the vehicle; determining, based on the sensor data, a damage model indicating a severity of one or more damage elements; determining, based on the sensor data, scene data identifying a geographic location of the vehicle; and generating, by at least one machine classifier, event interpretation data for each of the one or more damage elements, wherein the event interpretation data is based on the sensor data, the damage model, and the scene data.
16 . The non-transitory computer-readable medium of claim 15 , wherein the damage model further indicates a point of impact for each of the one or more damage elements.
17 . The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise obtaining additional information regarding the geographic location, the additional information comprising at least one of a road type, an intersection type, a speed limit, a road condition, or weather information.
18 . The non-transitory computer-readable medium of claim 15 , wherein:
the sensor data comprises image data of the one or more damage elements; and the damage model is based on the image data.
19 . The non-transitory computer-readable medium of claim 15 , wherein the event interpretation data comprises:
a confidence metric comprising a likelihood of liability for the one or more damage elements, an indication of how the one or more damage elements occurred, and an indication of a party that is at fault.
20 . The non-transitory computer-readable medium of claim 15 , wherein the operations further comprise:
obtaining satellite image data for the geographic location; generating a scene rendering for the geographic location based on the event interpretation data and the satellite image data; generating a user interface comprising the scene rendering and the event interpretation data; and providing the user interface.Join the waitlist — get patent alerts
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