Driver state sensing system, driver state sensing method, and vehicle including the same
AssigneeMando-Hella Electronics Corporation
InventorShinwook Kim
Life of this patent
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Abstract
Disclosed are a driver state sensing system, a driver state sensing method, and a vehicle including the same. The driver state sensing system includes an image photographing unit composed of a single channel to photograph images, a controller that extracts at least one shape point from a driver image sensed in the images and compares a motion vector calculated based on the amount of change of the shape point with at least one drowsiness vector stored in advance to determine whether a driver is in a drowsiness state, and a warning unit to warn when it is determined that the driver is in a drowsiness state.
Claims12
A driver state sensing system comprising:
- an image photographing unit comprising a channel to photograph images;
- a controller that extracts at least two shape points from driver images sensed in the images and compares a motion vector calculated based on an amount of change of the shape points with at least one drowsiness vector stored in advance to determine whether a driver is in a drowsiness state;
- and
- a warning unit to warn when it is determined that the driver is in a drowsiness state.
A driver state sensing method comprising:
- photographing images based on a camera sensor;
- extracting at least two shape points from driver images sensed in the images;
- calculating a motion vector based on an amount of change of the shape points;
- comparing the calculated motion vector with at least one drowsiness vector stored in advance to determine whether a driver is in a drowsiness state;
- and
- warning when it is determined that the driver is in the drowsiness state.
A vehicle comprising a driver state sensing system,
- wherein the driver state sensing system comprises:
- an image photographing unit comprising a channel to photograph images;
- a controller that extracts at least two shape points from driver images sensed in the images and compares a motion vector calculated based on an amount of change of the shape points with at least one drowsiness vector stored in advance to determine whether a driver is in a drowsiness state;
- and
- a warning unit to warn when it is determined that the driver is in the drowsiness state.
Dependencies are inferred from the claim text.