Driver's Ability to Recognize the Forward View and Head-up Display Images for Automobiles

Abstract

Although originally developed for aircraft use, head-up displays have found application in automobiles recently. A system for evaluating automotive HUDs has been developed which is based on the double task method and takes into account driving conditions. Seven kinds of correct response rates (CRRs) are defined as the evaluation standard. Using various kinds of HUDs evaluations are made focussingly on the relation between the fineness of the images and the distance from a driver's eyes to the images. It can be concluded that the task of reading the HUD image rarely affects recognition of the forward view and is closely related to peripheral vision. This paper also discusses the index newly derived from the CRRs, which can represent the performance of HUDs. The results suggest there is an optimal fineness and distance to the HUD image.