Lytx, Inc.

Drivecam, Inc.

Hongying Li

Peter Ellegaard

Bryon Cook

Bryan Cook

A Method and System for Tuning the Effect of Vehicle Characteristics on Risk Prediction is disclosed. The system many incorporate many of those driver risk assessment system features previously disclosed by Assignee's Prior Applications. The present system provides a major functional distinction from those prior systems by adding the feature of real-time tuning of the risk assessment/prediction/analysis system in response to ongoing changes in vehicle motion characteristics. Specifically, system monitors the vehicle center of gravity for changes on a real-time basis, and then adjusts the risk prediction/assessment/analysis system responsively. The system executes an initialization feature that implements an initial, or series of initial vehicular motion profiles at the commencement of either a driving trip of the system being powered up. A catalog or index of 'standardized' motion profiles are accessible for initial comparison to actual vehicle motion characteristics in order to streamline the tuning of the driver risk analysis system. The system determines if and when an offset in Center of Gravity (i.e. from where initialized) has occurred, after which the system responsively tunes the driver risk assessment/prediction/analysis/reporting system.

Method and system for tuning the effect of vehicle characteristics on risk prediction

A system for evaluating risk in driving comprises a processor and a memory. The processor is configured to determine whether a spacial motion data does not fall within the vehicle profile and, in the event that the spacial motion data does not fall within the vehicle profile, to change class/type assignment associated with the vehicle and to modify a trigger threshold associated with an event detector that monitors the spacial motion data. The memory is coupled to the processor and is configured to provide the processor with instructions.

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San Diego, CA, United States of America

Hongying Li