| CPC B60W 40/09 (2013.01) [B60W 40/10 (2013.01); G01S 19/42 (2013.01); G06V 40/16 (2022.01); B60W 2420/403 (2013.01); B60W 2420/54 (2013.01); B60W 2540/221 (2020.02); B60W 2540/30 (2013.01); B60W 2556/10 (2020.02)] | 18 Claims |
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1. 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, comprising to:
determine, within a predefined period of time, whether two similar faces of drivers from completely different locations are included in the driver location data and the vehicle data; and
in the event that the two similar faces of drivers from the completely different locations are included in the driver location data and the vehicle data within the predefined period of time, exclude the drivers having the two similar faces from the likely pool of drivers; and
process the vehicle data and the likely pool of drivers using a model to determine a most likely driver, and 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, wherein the processing of the vehicle data and the likely pool of drivers comprises to:
determine a subset of face data of the vehicle data based on a set of regulation data associated with the driver location data;
select the model based on the subset of face data, wherein the model comprises executing a machine learning algorithm, a neural network algorithm, an artificial intelligence algorithm, or any combination thereof; and
receive the most likely driver from the model based on the subset of face data and the likely pool of drivers.
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