Method and system for providing behavior of vehicle operator using virtuous cycle
First Claim
1. A method configured to detecting operator behavior (“
- OB”
) utilizing a plurality of sensors, machine learning center, and cloud based network, comprising;
monitoring operator body language of an operator captured by a set of interior sensors and capturing surrounding information observed by a set of exterior sensors onboard a vehicle as the vehicle is in motion;
selectively recording data relating to the operator body language and the surrounding information in accordance with a containerized OB model generated by a machine learning center (“
MLC”
);
detecting an abnormal OB (“
AOB”
) in accordance with vehicular status signals received by the OB model while the vehicle is in operating;
rewinding recorded operator body language and the surrounding information leading up to detection of the AOB and generating labeled data associated with the AOB;
uploading the labeled data to the cloud based network for facilitating OB model training at the MLC via a virtuous cycle; and
correlating the labeled data with location information, time stamp, and vicinity traffic condition obtained from the cloud based network to update correlated labeled data relating to the AOB.
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Accused Products
Abstract
A method or system is capable of detecting operator behavior (“OB”) utilizing a virtuous cycle containing sensors, machine learning center (“MLC”), and cloud based network (“CBN”). In one aspect, the process monitors operator body language captured by interior sensors and captures surrounding information observed by exterior sensors onboard a vehicle as the vehicle is in motion. After selectively recording the captured data in accordance with an OB model generated by MLC, an abnormal OB (“AOB”) is detected in accordance with vehicular status signals received by the OB model. Upon rewinding recorded operator body language and the surrounding information leading up to detection of AOB, labeled data associated with AOB is generated. The labeled data is subsequently uploaded to CBN for facilitating OB model training at MLC via a virtuous cycle.
28 Citations
14 Claims
-
1. A method configured to detecting operator behavior (“
- OB”
) utilizing a plurality of sensors, machine learning center, and cloud based network, comprising;monitoring operator body language of an operator captured by a set of interior sensors and capturing surrounding information observed by a set of exterior sensors onboard a vehicle as the vehicle is in motion; selectively recording data relating to the operator body language and the surrounding information in accordance with a containerized OB model generated by a machine learning center (“
MLC”
);detecting an abnormal OB (“
AOB”
) in accordance with vehicular status signals received by the OB model while the vehicle is in operating;rewinding recorded operator body language and the surrounding information leading up to detection of the AOB and generating labeled data associated with the AOB; uploading the labeled data to the cloud based network for facilitating OB model training at the MLC via a virtuous cycle; and correlating the labeled data with location information, time stamp, and vicinity traffic condition obtained from the cloud based network to update correlated labeled data relating to the AOB. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13)
- OB”
-
14. A method configured to detecting operator behavior (“
- OB”
) utilizing a plurality of sensors, machine learning center, and cloud based network, comprising;monitoring operator body language of an operator captured by a set of interior sensors and capturing surrounding information observed by a set of exterior sensors onboard a vehicle as the vehicle is in motion; selectively recording data relating to the operator body language and the surrounding information in accordance with a containerized OB model generated by a machine learning center (“
MLC”
);detecting an abnormal OB (“
AOB”
) in accordance with vehicular status signals received by the OB model while the vehicle is in operating;rewinding recorded operator body language and the surrounding information leading up to detection of the AOB and generating labeled data associated with the AOB; and uploading the labeled data to the cloud based network for facilitating OB model training at the MLC via a virtuous cycle; wherein uploading the labeled data to the cloud based networking for facilitating a machine learning process within a virtuous cycle includes, feeding real-time labeled data from the vehicle to the cloud based network for correlating and revising labeled data; forwarding revised labeled data to the machine learning center for training OB model; and pushing a trained OB model to the vehicle for continuing data collection.
- OB”
Specification