Continuous identity monitoring for classifying driving data for driving performance analysis

摘要

A method and system for determining insurance premiums utilizes correlations between sensed data associated with driver behavior for the vehicle, and image data, to identify events during a driving session, and place those events into context, based on the image data. The events are then classified, with the scores of the classifications used to determine driver behavior, which is in turn used to set automobile insurance rates for the driver and the associated vehicle.