Using personnel movements for indoor autonomous environment discovery

Using personnel movements for indoor autonomous environment discovery
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利用人员移动进行室内自主环境发现

DOI:
10.1109/percom.2003.1192734
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发表时间:
2003
期刊:
Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003. (PerCom 2003).
影响因子:
--
通讯作者:
A. Hopper
A. Hopper
中科院分区:
--
文献类型:
--
作者:
R. Harle;A. Hopper

文献摘要

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我们提出了一种新的方法,提取拓扑和度量的地理数据,只使用从人员流动的位置数据。我们从机器人领域扩展研究,以科普室内环境中真实的人特有的视觉不均匀性,以及用户对定位的任何无意阻碍。我们使用真实的数据收集使用蝙蝠定位系统安装在通信工程实验室提出的实施方法的结果。我们成功地从数据中获得有用的信息,并提出进一步的方法,其中所描述的技术是有用的,在一个无处不在的,传感器驱动的计算环境。
We present a novel method of extracting topological and metric geographical data using only positional data sensed from personnel movements. We extend research from the field of robotics to cope with the gross nonuniformity of sightings that is characteristic of real people in an indoor environment, and any unintentional obstruction of positioning by the user. We use real data collected using the Bat positioning system installed in the Laboratory for Communication Engineering to present the results of implementing the method. We successfully derive useful information from the data, and suggest further ways in which the techniques described are useful in a ubiquitous, sensor-driven computing environment.