System and method for determining probability that a vehicle driver is associated with a driver identifier
First Claim
1. A method for driver identification comprising:
- recording an image sequence of a vehicle driver at an interior-facing camera of a vehicle system during a driving session, in response to detecting a sampling event;
determining a presence of a face in each image of the image sequence at a face detection module of the vehicle system to generate an image sequence subset;
transmitting the image sequence subset to a remote computing system;
extracting a feature vector from the image sequence subset at a feature extraction module of the remote computing system;
determining a set of auxiliary sensor signals;
computing a probability that the vehicle driver is associated with a driver identifier based on the feature vector in combination with the set of auxiliary sensor signals;
in response to the probability exceeding a first threshold value, automatically associating the driving session with the driver identifier;
in response to the first threshold value exceeding the probability and the probability exceeding a second threshold value, receiving a driver identification input from a user and associating the driving session with a user-selected driver identifier; and
in response to the second threshold value exceeding the probability, generating a new driver identifier corresponding to the feature vector in combination with the auxiliary sensor signal and associating the new driver identifier with the driving session.
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Abstract
A method for driver identification including recording a first image of a vehicle driver; extracting a set of values for a set of facial features of the vehicle driver from the first image; determining a filtering parameter; selecting a cluster of driver identifiers from a set of clusters, based on the filtering parameter; computing a probability that the set of values is associated with each driver identifier of the cluster; determining, at the vehicle sensor system, driving characterization data for the driving session; and in response to the computed probability exceeding a first threshold probability: determining that the new set of values corresponds to one driver identifier within the selected cluster, and associating the driving characterization data with the one driver identifier.
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Citations
19 Claims
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1. A method for driver identification comprising:
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recording an image sequence of a vehicle driver at an interior-facing camera of a vehicle system during a driving session, in response to detecting a sampling event; determining a presence of a face in each image of the image sequence at a face detection module of the vehicle system to generate an image sequence subset; transmitting the image sequence subset to a remote computing system; extracting a feature vector from the image sequence subset at a feature extraction module of the remote computing system; determining a set of auxiliary sensor signals; computing a probability that the vehicle driver is associated with a driver identifier based on the feature vector in combination with the set of auxiliary sensor signals; in response to the probability exceeding a first threshold value, automatically associating the driving session with the driver identifier; in response to the first threshold value exceeding the probability and the probability exceeding a second threshold value, receiving a driver identification input from a user and associating the driving session with a user-selected driver identifier; and in response to the second threshold value exceeding the probability, generating a new driver identifier corresponding to the feature vector in combination with the auxiliary sensor signal and associating the new driver identifier with the driving session. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. A method for driver identification comprising:
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recording a first image of a vehicle driver at an interior-facing camera of a vehicle system during a driving session; computing a first probability that the vehicle driver is associated with a driver identifier based on the first image; in response to the first probability falling below a first threshold value, recording a second image of the vehicle driver, and recomputing the first probability that the vehicle driver is associated with the driver identifier based on the first image and the second image; in response to the first probability exceeding the first threshold value, transmitting the first and second images to a remote computing system; extracting a feature vector from the first and second images at a feature extraction module of the remote computing system; determining a set of auxiliary sensor signals; computing a second probability that the vehicle driver is associated with the driver identifier based on the feature vector in combination with the set of auxiliary sensor signals; associating the driver identifier with the driving session based on the second probability; in response to the second probability exceeding a second threshold value, automatically associating the driving session with the driver identifier; in response to the second threshold value exceeding the second probability and the second probability exceeding a third threshold value, receiving a driver identification input from a user and associating the driving session with a user-selected driver identifier; and in response to the third threshold value exceeding the second probability, generating a new driver identifier corresponding to the feature vector in combination with the auxiliary sensor signal and associating the new driver identifier with the driving session. - View Dependent Claims (12, 13, 14, 15, 16, 17, 18, 19)
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Specification