Toward simulation of driver behavior in driving automation
AssigneeHonda Motor Co., Ltd.
InventorTeruhisa Misu
Life of this patent
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Abstract
In some examples, one or more characteristics of one or more driving scenes may be obtained. Based at least on the one or more characteristics, one or more behaviors of a simulated driver may be simulated via a machine learning model. An operation associated with one or more advanced driving assistance system (ADAS) functions may be performed based at least on the simulated one or more behaviors.
Claims24
A method comprising:
- at an electronic device with one or more processors and memory:
- obtaining one or more characteristics including driver awareness characteristics of one or more driving scenes, the driver awareness characteristics indicating an awareness level of a driver towards a feature associated with driver intervention, the awareness level being based on an estimated gaze location of the driver;
- simulating, via a machine learning model, one or more behaviors of a simulated driver including the driver awareness characteristics, based at least on the one or more characteristics;
- and
- simulating, via a machine learning model, one or more behaviors of a simulated vehicle, based at least on the one or more characteristics;
- and
- performing an operation associated with one or more advanced driving assistance system (ADAS) functions based at least on simulated one or more behaviors comprising the one or more behaviors of the simulated driver and the one or more behaviors of the simulated vehicle.
A non-transitory computer-readable storage medium storing instructions, which when executed by one or more processors of an electronic device, cause the electronic device to perform a method comprising:
- obtaining one or more characteristics including driver awareness characteristics of one or more driving scenes, the driver awareness characteristics indicating an awareness level of a driver towards a feature associated with driver intervention, the awareness level being based on an estimated gaze location of the driver;
- simulating, via a machine learning model, one or more behaviors of a simulated driver including the driver awareness characteristics, based at least on the one or more characteristics;
- and
- simulating, via a machine learning model, one or more behaviors of a simulated vehicle, based at least on the one or more characteristics;
- and
- performing an operation associated with one or more advanced driving assistance system (ADAS) functions based at least on simulated one or more behaviors comprising the one or more behaviors of the simulated driver and the one or more behaviors of the simulated vehicle.
An electronic device comprising:
- one or more processors;
- and
- memory storing instructions, which when executed by the one or more processors, cause the electronic device to perform a method comprising:
- obtaining one or more characteristics including driver awareness characteristics of one or more driving scenes, the driver awareness characteristics indicating an awareness level of a driver towards a feature associated with driver intervention, the awareness level being based on an estimated gaze location of the driver;
- simulating, via a machine learning model, one or more behaviors of a simulated driver including the driver awareness characteristics, based at least on the one or more characteristics;
- and
- simulating, via a machine learning model, one or more behaviors of a simulated vehicle, based at least on the one or more characteristics;
- and
- performing an operation associated with one or more advanced driving assistance system (ADAS) functions based at least on simulated one or more behaviors comprising the one or more behaviors of the simulated driver and the one or more behaviors of the simulated vehicle.
Dependencies are inferred from the claim text.