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GPS Community Map Generation for Enhanced Routing Methods Based on Trace-Collection by Mobile Phones

机译:GPS社区地图生成,用于增强基于手机的跟踪集合的路由方法

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The paper describes a map generation system which relies on random individual contributions of GPS traced movements. In a typical use case, mobile phone users would join a specific community to contribute their movements along streets, roads or pathways in form of so called traces. Neither contributing subscribers nor the map generation need to have an a priori knowledge of the charted area. The approach presented here comprises the trace recording, the upload process to a common server and the processing algorithm for map generation. The problem of noisy data, resulting from GPS inaccuracies and random movements is addressed and countermeasures are proposed. One major perspective of this paper is the decomposition of a map into reasonable segments. In this context, the filter mechanism applied to the raw data is a key component for the deduction of precise street maps. Furthermore, the proof of concept is given and a guideline for a lower limit of active subscribers to achieve an operational system is derived.
机译:本文介绍了一种地图生成系统,它依赖于GPS跟踪运动的随机各个贡献。在典型用例中,移动电话用户将加入特定的社区,以沿着街道,道路或途径的途径贡献所谓的痕迹的形式。既没有贡献订阅者也不需要绘制图表区域的先验知识。这里呈现的方法包括跟踪记录,将上载过程到公共服务器和地图生成的处理算法。由GPS不准确和随机运动产生的噪音数据的问题得到了解决,提出了对策。本文的一个主要视角是将地图分解成合理的段。在此上下文中,应用于原始数据的滤波机制是用于扣除精确街道地图的关键组件。此外,推导出概念证明,并且导出了用于实现操作系统的有源用户的下限的指导。

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