最小边界框
碰撞
计算机科学
黑匣子
增强现实
跳跃式监视
计算机图形学(图像)
人工智能
计算机视觉
模拟
计算机安全
图像(数学)
作者
Wanting Chen,Liuqiucheng Niu,Shan Liu,Shu Ma,Hongting Li,Zhen Yang
标识
DOI:10.1080/10447318.2024.2327197
摘要
Augmented Reality Head-Up Display (AR-HUD) is a promising solution to the current warning system distraction problem. However, how to effectively convey warnings through AR graphics is still unclear. This study examines the effectiveness of the contact-analog graphic compared to the bounding box graphic in various collision types and traffic densities. Forty-eight participants watched AR-augmented driving videos and were instructed to respond to critical events. Reaction time, response rate, and subjective evaluations were compared for rear-end and pedestrian collisions in different traffic densities under different warnings. Both bounding box and contact-analog warnings improved driving performance compared to the non-warning group. The contact-analog warning performed better for rear-end collisions, while the bounding box warning had a lower reaction time for pedestrian collisions, regardless of traffic density.
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