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Predicted Viewer System of Road State Based on Crowd IoT Sensing Toward Autonomous EV Driving

机译:基于人群物联网对自主动作驾驶的路线观众系统预测观众体系

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In order to realize automotive electric car system in snow country, various road state information including dry, wet, slush, snowy, icy states on the road are determined in realtime using various environmental sensors. These state information is not only exchanged directly between EVs through V2X, but also collected into cloud servers on Internet and organized as wide area road state information platform for ordinal users to present as a viewer system of the road state using smartphone and tablet terminals. In this paper, the basic consideration of general architecture of road state information platform, EV autonomous control system, predicted viewer system, the predicted crowd sensing and viewing system and prototype system are precisely discussed.
机译:为了在雪地国家实现汽车电动汽车系统,在道路上的各种道路状态信息包括干燥,湿,泥,雪,冰冷状态,使用各种环境传感器确定。 这些状态信息不仅直接通过V2X交换,而且还在Internet上收集到云服务器中,并组织为序数用户的广域道路状态信息平台,以作为使用智能手机和平板电脑终端的道路状态的观众系统。 本文讨论了道路状态信息平台,EV自治控制系统,预测观察系统,预测人群传感和观看系统和原型系统的基本考虑。

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