Seeing Is Believing: Sharing Real-Time Visual Traffic Information via Vehicular Clouds
Seeing Is Believing: Sharing Real-Time Visual Traffic Information via Vehicular Clouds
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DOI：
10.1109/access.2016.2569585
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发表时间：
2016-05
期刊：
影响因子：
3.9
通讯作者：
Daehan Kwak;Ruilin Liu;Daeyoung Kim;B. R. Badrinath;L. Iftode
中科院分区：
文献类型：
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作者：
Daehan Kwak;Ruilin Liu;Daeyoung Kim;B. R. Badrinath;L. Iftode
从今天的传统汽车到明天的自动驾驶汽车，技术的进步将使车辆配备越来越复杂的传感设备，如摄像头。随着车辆能够充当携带有用交通信息的移动传感器，人和车辆正在共享传感数据，以增强驾驶体验。本文描述了一种用于路线规划的车载云服务，用户通过使用车载摄像头协作共享交通图像。我们提出了一种称为社交车辆导航的协作交通图像共享系统的架构，该系统允许驾驶员在车辆云中报告和共享称为NaviTweets的视觉交通信息。然后对一组NaviTweets进行过滤、精炼，并将其浓缩为一个简洁、用户友好的感兴趣的路由快照摘要，称为流量摘要。这些摘要可以提供有关道路状况的更相关和可靠的信息，并可以补充预测，例如估计到达时间，从而支持用户的路线决策。作为概念验证，本文给出了系统设计和在Android智能手机平台上运行的原型实现，并对其进行了评估。
From today's conventional cars to tomorrow's self-driving cars, advances in technology will enable vehicles to be equipped with more and more-sophisticated sensing devices, such as cameras. As vehicles gain the ability to act as mobile sensors that carry useful traffic information, people and vehicles are sharing sensing data to enhance the driving experience. This paper describes a vehicular cloud service for route planning, where users collaborate to share traffic images by using their vehicles' on-board cameras. We present the architecture of a collaborative traffic image-sharing system called social vehicle navigation, which allows drivers in the vehicular cloud to report and share visual traffic information called NaviTweets. A set of NaviTweets is then filtered, refined, and condensed into a concise, user-friendly snapshot summary of the route of interest, called a traffic digest. These digests can provide more pertinent and reliable information about the road situation and can complement predictions, such as estimated time of arrival, thereby supporting users' route decision making. As proof of concept, this paper presents the system design and a prototype implementation running on the Android smartphone platform, along with its evaluation.