Method and system for driver monitoring by fusing contextual data with event data to determine context as cause of event
First Claim
1. A method for driver monitoring, the method comprising:
- detecting an event from event data received from one or more inertial sensors associated with a vehicle of a driver or with the driver, wherein detecting the event comprises calculating an inertial sensor score si[n];
determining a context automatically in real time from an audio or video feed only received from one or more devices associated with the vehicle or the driver, wherein the context is determined locally in the vehicle without using a server remotely located to the vehicle and determining the context comprises calculating a score s[n] from the context;
fusing the event with the context to determine the context as a cause of the event automatically in real time and locally in the vehicle without using the server remotely located to the vehicle; and
assigning a score S[n] to a driver performance metric based at least on the context and the event, wherein S[n]=F(s[n], si[n]) with F( ) being a function of at least one of multiplication, addition, subtraction, or division, and S[n] being impacted positively or negatively based on the context and the event.
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Abstract
A method and system for driver monitoring by fusing contextual data with event data to determine context as cause of event is provided. The method includes detecting an event from event data received from one or more inertial sensors associated with a vehicle of a driver or with the driver. The method also includes determining a context from an audio or video feed received from one or more devices associated with the vehicle or the driver. Further, the method includes fusing the event with the context to determine the context as a cause of the event. In addition, the method includes assigning a score to a driver performance metric based at least on the context and the event.
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Citations
20 Claims
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1. A method for driver monitoring, the method comprising:
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detecting an event from event data received from one or more inertial sensors associated with a vehicle of a driver or with the driver, wherein detecting the event comprises calculating an inertial sensor score si[n]; determining a context automatically in real time from an audio or video feed only received from one or more devices associated with the vehicle or the driver, wherein the context is determined locally in the vehicle without using a server remotely located to the vehicle and determining the context comprises calculating a score s[n] from the context; fusing the event with the context to determine the context as a cause of the event automatically in real time and locally in the vehicle without using the server remotely located to the vehicle; and assigning a score S[n] to a driver performance metric based at least on the context and the event, wherein S[n]=F(s[n], si[n]) with F( ) being a function of at least one of multiplication, addition, subtraction, or division, and S[n] being impacted positively or negatively based on the context and the event. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14)
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15. A system for driver monitoring, the system comprising:
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an event detector for detecting, automatically in real time and locally in a vehicle without using a server remotely located to the vehicle, an event from event data received from one or more inertial sensors associated with the vehicle of a driver or with the driver, wherein the one or more inertial sensors comprise at least one head mounting device configured to be worn by the driver, wherein detecting the event comprises calculating an inertial sensor score si[n]; a context detector for determining, automatically in real time and locally in the vehicle without using the server remotely located to the vehicle, a context from an audio or video feed only received from one or more devices associated with the vehicle or the driver, wherein determining the context comprises calculating a score s[n] from the context; an analyser for fusing, automatically in real time and locally in the vehicle without using the server remotely located to the vehicle, the event with the context to determine the context as a cause of the event; and a scorer for assigning, automatically in real time and locally in the vehicle without using the server remotely located to the vehicle, a score S[n] to a driver performance metric based at least on the context and the event, wherein S[n]=F(s[n], si[n]) with F( ) being a function of at least one of multiplication, addition, subtraction, or division, and S[n] being impacted positively or negatively based on the context and the event.
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16. A method for driver monitoring, the method comprising:
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detecting a vehicle event, automatically in real time and locally in a vehicle without using a server remotely located to the vehicle, from vehicle event data, wherein the vehicle event indicates a change in state of the vehicle; detecting a driver event, automatically in real time and locally in the vehicle without using the server remotely located to the vehicle, from driver event data, wherein the driver event indicates a change in state of a driver and is determined from an audio or video feed only; detecting a compliance event, automatically in real time and locally in the vehicle without using the server remotely located to the vehicle, from compliance event data, wherein the compliance event indicates an event related to compliance; analyzing automatically in real time and locally in the vehicle without using the server remotely located to the vehicle, the vehicle event data, the driver event data, and the compliance event data to determine relationship between the vehicle event data, the driver event data, and the compliance event data; and assigning automatically in real time and locally in the vehicle without using the server remotely located to the vehicle, a score to a driver profile based at least on the determined relationship. - View Dependent Claims (17, 18, 19, 20)
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Specification