Driving skill evaluation method, driving skill evaluation system, and non-transitory recording medium
AssigneeSubaru Corporation
InventorsTakeshi Torii, Noeru Sato
Life of this patent
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Abstract
A driving skill evaluation method according to one embodiment of the disclosure includes: generating a kernel density estimation image, based on time-series data of a first parameter corresponding to a direction change in a traveling direction of a vehicle, and time-series data of a second parameter indicating a square of a jerk in the traveling direction of the vehicle; and evaluating a driving skill of a driver of the vehicle, by comparing the kernel density estimation image with a reference image.
Claims11
A driving skill evaluation method comprising:
- generating a kernel density estimation image, based on time-series data of a first parameter corresponding to a direction change in a traveling direction of a vehicle, and time-series data of a second parameter indicating a square of a jerk in the traveling direction of the vehicle;
- and
- evaluating a driving skill of a driver of the vehicle, by comparing the kernel density estimation image with a reference image.
A driving skill evaluation system comprising:
- an image generation circuit configured to generate a kernel density estimation image, based on time-series data of a first parameter corresponding to a direction change in a traveling direction of a vehicle, and time-series data of a second parameter indicating a square of a jerk in the traveling direction of the vehicle;
- and
- an evaluation circuit configured to evaluate a driving skill of a driver of the vehicle, by comparing the kernel density estimation image with a reference image.
A non-transitory recording medium containing software, the software causing a processor to:
- generate a kernel density estimation image, based on time-series data of a first parameter corresponding to a direction change in a traveling direction of a vehicle, and time-series data of a second parameter indicating a square of a jerk in the traveling direction of the vehicle;
- and
- evaluate a driving skill of a driver of the vehicle, by comparing the kernel density estimation image with a reference image.
Dependencies are inferred from the claim text.