For this, augmented reality is a promising visualization technology because it can present the relevant information integrated into the physical world. One important factor for this is understanding the available information, including its quality and, for passengers of automated vehicles, the actions planned based on it. This raises the question of how trust can be increased in such a scenario.
However, human drivers and passengers have to trust and accept their use. Infrastructure-mounted sensors that monitor roads can provide essential information for manual drivers and automated vehicles, e.g., positions of other vehicles occluded by buildings. We include lessons learned from our simulator development experiences, results of the user study and conclude with limitations and future work.
Results suggest that conformal AR graphics may not be inherently better than other HUD interfaces. We describe our experiences developing simulator hardware and software and detail a user study that examines driver performance, visual attention, and preferences using two AR navigation interfaces. This paper reports on a novel, low-cost, immersive driving simulator created using a myriad of custom hardware and software technologies specifically to examine basic and applied research questions related to AR HUDs usage when driving. Despite increasing adoption, demand, and competition among manufacturers to deliver higher quality HUDs with increased fields of view, little work has been done to understand how best to design and assess AR HUD user interfaces, and how to quantify their effects on driver behavior, performance, and ultimately safety. Optical see-through automotive head-up displays (HUDs) are a form of augmented reality (AR) that is quickly gaining penetration into the consumer market.
0 kommentar(er)
