Abstract: A display device for a vehicle includes a moving speed calculation unit that calculates a moving speed of a pupil based on a position of the pupil detected by a pupil detection unit. In a case in which the moving speed of the pupil is equal to or lower than a threshold, a pupil diameter calculation unit calculates a pupil diameter at a present time based on the pupil at the present time, and outputs the calculated pupil diameter at the present time to a brightness adjustment unit. On the other hand, in a case in which the moving speed of the pupil exceeds the threshold, the pupil diameter calculation unit outputs a pupil diameter calculated at a previous time to the brightness adjustment unit as the pupil diameter at the present time.

Abstract: A method of adjusting a vehicle display device includes: performing a first inspection, calculating a first correction value, and writing the first correction value into a non-volatile memory of the vehicle display device; and performing a second inspection, calculating a second correction value, and writing the second correction value into the non-volatile memory of the vehicle display device, each of the first correction value and the second correction value is a value with which an image display area is corrected so that a tilt of an axis of the image is reduced, and in the second inspection, the display device displays an image to the image display area that has been corrected with the first correction value.

Abstract: A display device for a vehicle includes a moving speed calculation unit that calculates a moving speed of a pupil based on a position of the pupil detected by a pupil detection unit. In a case in which the moving speed of the pupil is equal to or lower than a threshold, a pupil diameter calculation unit calculates a pupil diameter at a present time based on the pupil at the present time, and outputs the calculated pupil diameter at the present time to a brightness adjustment unit. On the other hand, in a case in which the moving speed of the pupil exceeds the threshold, the pupil diameter calculation unit outputs a pupil diameter calculated at a previous time to the brightness adjustment unit as the pupil diameter at the present time.

Abstract: An AR-HUD system includes an AR-HUD device and a line-of-sight detector. The AR-HUD device is disposed in a vehicle and emits display light toward a transmissive windshield to display a virtual image. The line-of-sight detector detects the line of sight of the driver of the vehicle. The AR-HUD device changes a display mode of displaying the virtual image in accordance with the position of the driver's line of sight detected by the line-of-sight detector.

Abstract: An image processing device includes a data processing unit that processes data of a face image which is captured to include a face. The data processing unit generates an edge image by filtering the face image to detect an edge in a scanning direction, extracts a sampling value as the information regarding a gradient magnitude and whether the gradient is positive or negative from each of positions in the edge image corresponding to a plurality of points constituting the sampling curve, calculates a likelihood with respect to the sampling curve by setting points having a positive gradient and a negative gradient as likelihood evaluation targets in a first point group and a second point group, and detects a sampling curve having a maximum likelihood as a pupil or an iris among a plurality of sampling curves.

Abstract: An image processing device includes a data processing unit that processes data of a face image which is captured to include a face. The data processing unit generates an edge image by filtering the face image to detect an edge in a scanning direction, extracts a sampling value as the information regarding a gradient magnitude and whether the gradient is positive or negative from each of positions in the edge image corresponding to a plurality of points constituting the sampling curve, calculates a likelihood with respect to the sampling curve by setting points having a positive gradient and a negative gradient as likelihood evaluation targets in a first point group and a second point group, and detects a sampling curve having a maximum likelihood as a pupil or an iris among a plurality of sampling curves.