The effect of AR HUD on enhancing the driver's trust in automated vehicles operation under high-risk scenarios

With the continuous development of intelligent vehicle technology, Augmented Reality Head Up Display (AR HUD), as a new type of human-machine interaction interface, is gradually being applied to automated vehicles. AR HUD provides drivers with intuitive, real-time driving information by seamlessly integrating virtual images with the real road environment, significantly improving driving safety and comfort. The guidance function of AR HUD can not only prompt obstacles, but also effectively reduce the cognitive burden during driving. This paper investigates the effect of AR HUD on the driver's interaction responses in emergency obstacle avoidance scenarios during automated driving mode. First, we built a Level 2 automated vehicle model in a driving simulator environment. A collision scenario was built between the automated vehicle and the motorcycle at the un-signaled intersection. Secondly, we developed three HMI information reminder modes for traffic conflicts during the automated driving operation, namely baseline type, risk-alert type, and AR HUD risk visualization type. 8 subjects were recruited to conduct our experiment to analyze what type of information presentation would give drivers more confidence to let the automated vehicle run autonomously without takeover when it driving in conflict scenarios.