A novel depth perception control method for a monocular head-up display (HUD) in a car has been developed, which is called the dynamic perspective method. The method changes a size and a position of the HUD image such as arrow for depth perception and achieves a depth perception position of 120 [m] within an error of 30% in a simulation. However, it is difficult to achieve an accurate depth perception in the real world because of car vibration. To solve this problem, we focus on a property, namely, that people complement hidden images by previous continuously observed images. We hide the image on the HUD when the car is vibrated very much. We aim to point at the accurate depth position by using see-through HUD images while having users complement the hidden image positions based on the continuous images before car vibration. We developed a car that detects big vibration by an acceleration sensor and is equipped with our monocular HUD. Our new method pointed at the depth position more accurately than the previous method, which was confirmed by t-test.