Driver risk assessment system and method having calibrating automatic event scoring
First Claim
1. A system for processing driving data, comprising:
- an interface configured to receive a driving data compromising a sensor data of a vehicle; and
a processor configured to;
receive a scoring selection, wherein the scoring selection comprises one of the following;
an absence of scoring, a manual scoring, or an automatic scoring; and
execute a process on the driving data based at least in part on the scoring selection, wherein the process comprises one of the following;
a first process corresponding to the absence of scoring, a second process corresponding to the manual scoring, or a third process corresponding to the automatic scoring, wherein an automatic scoring result of the third process corresponding to the automatic scoring is based at least in part on a risk confidence data, and a manual scoring result of the second process corresponding to the manual scoring is used to update the risk confidence data;
wherein the processor is further to determine a risk identification for the driving data comprising a prediction of a risky driving event.
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Accused Products
Abstract
A Driver Risk Assessment System and Method Having Calibrating Automatic Event Scoring is disclosed. The system and method provide robust and reliable event scoring and reporting, while also optimizing data transmission bandwidth. The system includes onboard vehicular driving event detectors that record data related to detected driving events and selectively store or transfer data related to said detected driving events. If elected, the onboard vehicular system will score a detected driving event, compare the local score to historical values previously stored within the onboard system, and upload selective data or data types to a remote server or user if the system concludes that a serious driving event has occurred. Importantly, the onboard event scoring system, if enabled, will continuously evolve and improve in its reliability by being periodically re-calibrated with the ongoing reliability results of manual human review of automated predictive event reports. The system may further respond to independent user requests by transferring select data to said user at a variety of locations and formats.
15 Citations
16 Claims
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1. A system for processing driving data, comprising:
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an interface configured to receive a driving data compromising a sensor data of a vehicle; and a processor configured to; receive a scoring selection, wherein the scoring selection comprises one of the following;
an absence of scoring, a manual scoring, or an automatic scoring; andexecute a process on the driving data based at least in part on the scoring selection, wherein the process comprises one of the following;
a first process corresponding to the absence of scoring, a second process corresponding to the manual scoring, or a third process corresponding to the automatic scoring, wherein an automatic scoring result of the third process corresponding to the automatic scoring is based at least in part on a risk confidence data, and a manual scoring result of the second process corresponding to the manual scoring is used to update the risk confidence data;
wherein the processor is further to determine a risk identification for the driving data comprising a prediction of a risky driving event. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A method for processing driving data, comprising:
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receiving a driving data compromising a sensor data of a vehicle; receiving, using a processor, a scoring selection, wherein the scoring selection comprises one of the following;
an absence of scoring, a manual scoring, or an automatic scoring; andexecuting a process on the driving data based at least in part on the scoring selection, wherein the process comprises one of the following;
a first process corresponding to the absence of scoring, a second process corresponding to the manual scoring, or a third process corresponding to the automatic scoring, wherein an automatic scoring result of the third process corresponding to the automatic scoring is based at least in part on a risk confidence data, and a manual scoring result of the second process corresponding to the manual scoring is used to update the risk confidence data.
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16. A computer program product for processing driving data, the computer program product being embodied in a non-transitory computer readable storage medium and comprising computer instructions for:
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receiving a driving data compromising a sensor data of a vehicle; receiving a scoring selection, wherein the scoring selection comprises one of the following;
an absence of scoring, a manual scoring, or an automatic scoring; andexecuting a process on the driving data based at least in part on the scoring selection, wherein the process comprises one of the following;
a first process corresponding to the absence of scoring, a second process corresponding to the manual scoring, or a third process corresponding to the automatic scoring, wherein an automatic scoring result of the third process corresponding to the automatic scoring is based at least in part on a risk confidence data, and a manual scoring result of the second process corresponding to the manual scoring is used to update the risk confidence data.
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Specification