Drivers' Recognitions of Head-up Displays (HUD) with Near-Peripheral Vision Considering Autonomous Vehicles

Abstract

HUD can be effective for a driver to recognize both of traffic environment and system information quickly, which may be particularly beneficial in a situation when supervising an autonomous vehicle. We have verified this effect of HUD in a quantitative way with a series of experiments measuring the driver's reaction time to look into the differences in driver's recognitions by level of vehicle automation. Also an on-the-scene HUD method with moving image has been explored that enables the ease of simultaneously recognition both of traffic environment and vehicle information. It was confirmed that by adequately controlling the frequency it is possible to achieve it while maintaining the visual attraction at low level.