Method and system for providing behavior of vehicle operator using virtuous cycle

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.

What is claimed is: 
     
         1 . A system of a vehicle, comprising:
 at least one sensor attached to the vehicle and configured to capture data;   a driving behavior module configured to employ a machine learning model to detect dangerous driving behavior based on a triggering event;   a memory that stores computer instructions; and   a processor that is configured to execute the computer instructions to:
 monitor driving behavior of a driver of the vehicle based on an analysis of the data captured by the at least one sensor; 
 detect the triggering event based on the driving behavior; and 
 provide resistance to at least one component of the vehicle to alert the driver of the dangerous driving behavior detected by the driving behavior module from the triggering event. 
   
     
     
         2 . The system of  claim 1 , wherein the processor provides resistance to at least one component of the vehicle by being configured to execute further computer instructions to:
 resist erratic steering behavior in response to the driving behavior module detecting dangerous driving.   
     
     
         3 . The system of  claim 1 , wherein the processor provides resistance to at least one component of the vehicle by being configured to execute further computer instructions to:
 provide resistance to a steering wheel of the vehicle in response to the driving behavior module detecting dangerous driving.   
     
     
         4 . The system of  claim 1 , wherein the processor provides resistance to at least one component of the vehicle by being configured to execute further computer instructions to:
 provide resistance to a gas pedal of the vehicle in response to the driving behavior module detecting dangerous driving.   
     
     
         5 . The system of  claim 1 , wherein the processor detects the triggering event by being configured to execute further computer instructions to:
 capture surrounding information observed by at least one exterior sensor of the at least one sensor; and   detect the triggering event based on a combination of the driving behavior and the surrounding information.   
     
     
         6 . The system of  claim 1 , wherein the processor detects the triggering event by being configured to execute further computer instructions to:
 detect rapid steering events based on the data captured from at least one interior sensor.   
     
     
         7 . The system of  claim 1 , wherein the processor is configured to execute further computer instructions to:
 monitor body language of the driver using an interior camera of the at least one sensor to detect operator body movement.   
     
     
         8 . The system of  claim 1 , wherein the processor is configured to execute further computer instructions to:
 employ a steering sensor of the at least one sensor to detect movement of a steering wheel.   
     
     
         9 . A computing device in a vehicle, comprising:
 a memory that stores computer instructions; and   a processor that is configured to execute the computer instructions to:
 capture data from at least one interior sensor of the vehicle; 
 monitor steering behavior of a driver of the vehicle based on an analysis of the data captured by the at least one interior sensor; 
 detect a triggering event based on the steering behavior; 
 employ a machine learning model to detect erratic steering behavior based on the triggering event and the monitored steering behavior; 
 label the erratic steering behavior as a dangerous driving event; and 
 cause the vehicle to resist the erratic steering behavior in response to the dangerous driving event. 
   
     
     
         10 . The computing device of  claim 9 , wherein the processor detects the triggering event by being configured to execute further computer instructions to:
 capture surrounding information observed by at least one exterior sensor of the vehicle; and   detect the triggering event based on a combination of the steering behavior and the surrounding information.   
     
     
         11 . The computing device of  claim 9 , wherein the processor detects the triggering event by being configured to execute further computer instructions to:
 detect rapid steering events based on the data captured from the at least one sensor.   
     
     
         12 . The computing device of  claim 9 , wherein the processor captures data from the at least one interior sensor by being configured to execute further computer instructions to:
 monitor body language of the driver using an interior camera to detect operator body movement.   
     
     
         13 . The computing device of  claim 9 , wherein the processor captures data from the at least one interior sensor by being configured to execute further computer instructions to:
 employ a steering sensor to detect movement of a steering wheel.   
     
     
         14 . A computer implemented method, comprising:
 capturing data from at least one interior sensor of a vehicle;   monitoring steering behavior of a driver of the vehicle based on an analysis of the data captured by the at least one interior sensor;   detecting a triggering event based on the steering behavior;   employing a machine learning model to detect erratic steering behavior based on the triggering event and the monitored steering behavior; and   resisting the erratic steering behavior in response to detecting erratic steering behavior.   
     
     
         15 . The method of  claim 14 , wherein detecting the triggering event comprises:
 capturing surrounding information observed by at least one exterior sensor of the vehicle; and   detecting the triggering event based on a combination of the steering behavior and the surrounding information.   
     
     
         16 . The method of  claim 15 , wherein the detecting the triggering event comprises:
 detecting rapid steering events based on the data captured from the at least one sensor.   
     
     
         17 . The method of  claim 15 , wherein capturing data from the at least one interior sensor comprises:
 monitoring body language of the driver using an interior camera to detect operator body movement.   
     
     
         18 . The method of  claim 15 , wherein capturing data from the at least one interior sensor comprises:
 employing a steering sensor to detect movement of a steering wheel.