Depth perception control by hiding displayed images based on car vibration for monocular head-up display

We have developed a novel depth perception control method for a monocular head-up display (HUD) in a car. However, it is difficult to achieve an accurate depth perception in the real world because of car vibration. To resolve this problem, we focus on a property that people complement hidden images by previous continuous observed images. We hide the image on the HUD when the car is vibrated. We aim to point at the accurate depth position by using HUD images with having users compliment the hidden image positions based on the continuous images before car vibration. We developed a car which detects big vibration by an acceleration sensor and is equipped with our monocular HUD. Our method pointed at the depth position within a 3.4 [m] error, which was 2 times more accurate than the previous method does.