Research on Blind Zone Visual Warning Design Strategy of AR-HUD Under Different Driving Road Scenarios

This study aims to optimize AR-HUD blind spot visual warning strategies in intelligent driving systems. To achieve this, we first review and summarize the current state of AR-HUD interface design and blind spot warning strategies, both domestically and internationally, highlighting their strengths, weaknesses, and research gaps. We then conduct ergonomic experiments using eye-tracking technology and Unity-simulated driving scenarios to analyze the presentation forms of AR-HUD blind spot warnings across different road conditions. Based on these findings, we propose design strategies tailored to various driving scenarios. The results offer theoretical support for enhancing AR-HUD blind spot warnings, contributing both academically and practically to the development of intelligent driving systems.