Driver identification using geospatial information
AssigneeLytx, Inc.
InventorVincent Nguyen
Life of this patent
Estimating the term…
Abstract
The system comprises an interface and a processor. The interface is configured to receive vehicle data, comprising data associated with a vehicle over a period of time; and receive driver location data, comprising location data associated with one or more drivers of a roster of drivers. The processor is configured to determine a likely pool of drivers based at least in part on the driver location data and the vehicle data; and process the vehicle data and the likely pool of drivers using a model to determine a most likely driver.
Claims19
(canceled)
A system, comprising:
- an interface configured to:
- receive vehicle data, comprising data associated with a vehicle over a period of time;
- and
- receive driver location data, comprising location data associated with one or more drivers of a roster of drivers;
- and
- a processor configured to:
- determine a likely pool of drivers based at least in part on the driver location data and the vehicle data;
- and
- process the vehicle data and the likely pool of drivers using a model to determine a most likely driver, wherein the model determines that the most likely driver comprises a driver of the likely pool of drivers that is most likely associated with the vehicle data.
The system of claim 12, wherein the model utilizes a subset of face data of the vehicle data, wherein the subset of face data comprises face data captured in regions where performing facial recognition is allowed.
- The system of claim 14, wherein the processor is further configured to determine the subset of face data based at least in part on a set of regulation data associated with a set of locations.
A method, comprising:
- receiving vehicle data comprising data associated with a vehicle over a period of time;
- receiving driver location data comprising location data associated with one or more drivers of a roster of drivers;
- determining, using a processor, a likely pool of drivers based at least in part on the driver location data and the vehicle data;
- and
- processing the vehicle data and the likely pool of drivers using a model to determine a most likely driver, wherein the model determines that the most likely driver comprises a driver of the likely pool of drivers that is most likely associated with the vehicle data.
A computer program product, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
- receiving vehicle data comprising data associated with a vehicle over a period of time;
- receiving driver location data comprising location data associated with one or more drivers of a roster of drivers;
- determining a likely pool of drivers based at least in part on the driver location data and the vehicle data;
- and
- processing the vehicle data and the likely pool of drivers using a model to determine a most likely driver, wherein the model determines that the most likely driver comprises a driver of the likely pool of drivers that is most likely associated with the vehicle data.
Dependencies are inferred from the claim text.