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Safety view management for augmented reality based on MapReduce strategy on multi-core processors

机译：基于多核处理器上的MapReduce策略的增强现实安全视图管理

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Augmented reality (AR) can enrich intelligent transportation systems by overlaying virtual traffic information on user's view. Pedestrians and drivers using AR applications can read traffic information and keep their eye on roads at the same time without distracting attentions. However, any information displayed on device screens may overlay on moving objects on roads and obstruct user's view which causes traffic safety problems. This paper proposes a mechanism called safety view management to display information on AR applications in a safer way. When display labels or annotations on a device screen, the safety view management mechanism provides a safety region which does not overlap moving objects on the screen to increase driving safety. To efficiently detect safety region on a screen, the view management mechanism adopts MapReduce to analyze moving objects in parallel way on multi-core processors. Performance evaluations show that the proposed mechanism can efficiently calculate a safety region on screens and keeps drivers and passengers' remain safety view in smart cars.
机译：增强现实（AR）可以通过将虚拟交通信息叠加在用户视图上来丰富智能交通系统。使用AR应用程序的行人和驾驶员可以在不分散注意力的情况下读取交通信息并同时关注道路。但是，设备屏幕上显示的任何信息都可能会覆盖在道路上的移动物体上，并妨碍用户的视线，从而导致交通安全问题。本文提出了一种称为安全视图管理的机制，可以更安全地在AR应用程序上显示信息。当在设备屏幕上显示标签或注释时，安全视图管理机制提供了一个安全区域，该区域不会与屏幕上的移动对象重叠，从而提高了驾驶安全性。为了有效地检测屏幕上的安全区域，视图管理机制采用MapReduce在多核处理器上并行分析运动对象。性能评估表明，所提出的机制可以有效地计算屏幕上的安全区域，并使驾驶员和乘客在智能汽车中保持安全视线。

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