增强道路感知:通过传感器融合和协作定位实现智能和社交驾驶

C. Wang, Jennifer Healey, Meiyuan Zhao
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引用次数: 6

摘要

在许多方面,汽车是最常见的人类增强工具:它提高了我们的速度,使我们更强大,使我们能够到达否则不可能到达的距离。在本文中,我们展示了先进的定位系统如何实现人类增强的另一个维度:允许驾驶员直观地感知来自其他车辆的数据流。这些数据流可能包含来自其他司机的社交信息,如“跟我来”或来自其他汽车本身的传感器系统的警告,如“分心的司机!”我们描述了使该系统成为可能的正在进行的技术工作,以及该技术如何通过与道路上临时遇到的其他车辆进行M2M通信来实现智能和社交驾驶的未来愿景。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Augmenting on-road perception: enabling smart and social driving with sensor fusion and cooperative localization
In many ways the car is the most common human augmentation: it increases our speed, renders us more powerful and enables us to reach distances that are otherwise impossible. In this paper, we show how advanced localization systems enable yet another dimension of human augmentation: allowing the driver to visually perceive data streams from other cars. These data streams may contain social messages from other drivers such as "Follow Me" or warnings from the sensor systems of the other cars themselves such as "Distracted Driver!" We describe both the technical work in progress that makes this system possible as well as the future vision of how this technology will enable smart and social driving through M2M communication with other vehicles that are encountered ad hoc on the road.
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