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2010 Ubiquitous Positioning Indoor Navigation and Location Based Service最新文献

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Towards precise car navigation: Detection of relative vehicle position on highway for collision avoidance 面向精确的汽车导航:检测公路上的相对车辆位置以避免碰撞
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5654292
M. Uradziński, Jing-nan Liu, Weiping Jiang
In this paper, we focus on evaluating the performance of NTrip/RTK solutions for accurate and precise car navigation (analysis of both the accuracy and availability of RTK data using mobile communication). Our approach is to develop a functional system of determining lane positions on highways. A system is based on wireless radio communication among surrounding vehicles what complement and enhance the current vehicle driving system needs (lane change collision avoidance systems, vehicle tracking, lane keeping and obstacle avoidance).
在本文中,我们重点评估了NTrip/RTK解决方案在精确和精确汽车导航方面的性能(分析了使用移动通信的RTK数据的准确性和可用性)。我们的方法是开发一个确定高速公路车道位置的功能系统。该系统基于周围车辆之间的无线无线电通信,补充并增强了当前车辆驾驶系统的需求(变道防撞系统、车辆跟踪、车道保持和避障)。
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引用次数: 6
Perspective federated testbed for public safety communications, ubiquitous positioning, indoor navigation and location based services 用于公共安全通信、无处不在的定位、室内导航和基于位置的服务的透视联合试验台
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5654289
A. Samberg, A. Boukalov
This paper presents a description of major principles of federated testbed for public safety communications activities, its concept, structure, objectives, and trial scenarios.
本文介绍了公共安全通信活动联合试验台的主要原理、概念、结构、目标和试验场景。
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引用次数: 0
Positioning in resource-constrained ultra low-power Wireless Sensor Networks 资源受限的超低功耗无线传感器网络定位
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5654345
Ville Kaseva, T. Hämäläinen, Marko Hännikäinen
Wireless Sensor Networks (WSNs) consist of densely deployed, independent, and collaborating low cost sensor nodes. The nodes are highly resource-constrained in terms of energy, processing, and data storage capacity. Thus, the protocols used in WSNs must be highly energy-efficient. WSN communication protocols achieving the lowest power consumption minimize radio usage by accurately synchronizing transmissions and receptions with their neighbors. In this paper, we show how network signaling frames of state-of-the-art synchronized communication protocols for low-power WSNs supporting mobile nodes can be used for positioning. We derive mathematical models for node power consumption analysis. The models provide a tool for estimating what kind of network lifetimes can be expected when average positioned node speed, the amount of anchor nodes required by the location estimation algorithm, and the location refresh rate required by the application are known. The presented analysis results are based on two kinds of node hardware: real node hardware prototypes having no Received Signal Strength Indicator (RSSI) support and typical values of an integrated chip using an IEEE 802.15.4 compliant radio with RSSI.
无线传感器网络(wsn)由密集部署、相互独立、相互协作的低成本传感器节点组成。节点在能源、处理和数据存储能力方面受到高度资源限制。因此,无线传感器网络中使用的协议必须是高能效的。WSN通信协议通过与邻居精确同步传输和接收,实现最低功耗,最大限度地减少无线电使用。在本文中,我们展示了支持移动节点的低功耗wsn的最新同步通信协议的网络信令帧如何用于定位。推导了节点功耗分析的数学模型。这些模型提供了一种工具,用于估计在已知平均定位节点速度、位置估计算法所需的锚节点数量和应用程序所需的位置刷新率时,可以预期哪种类型的网络生命周期。本文的分析结果基于两种节点硬件:不支持接收信号强度指示器(RSSI)的真实节点硬件原型和使用符合IEEE 802.15.4标准的RSSI无线电的集成芯片的典型值。
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引用次数: 1
Enhancing the indoor positioning capabilities of GIS-based security middleware solution by means of behavioral pattern and video content analyses 通过行为模式和视频内容分析,增强基于gis的安防中间件解决方案的室内定位能力
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5653667
A. Samberg
This paper describes a proposed methodology how a GIS-based security middleware solution can be enhanced by rule-based behavior analyses of the complex dynamic processes which are associated with emergency response. The results of the field tests of indoor positioning, when a wireless mobile node was moving around a testing environment in time, are presented here. The behavior of mobile node was monitored by means of Ekahau Wi-Fi real-time location system, and a RSSI map produced.
本文描述了一种基于gis的安全中间件解决方案如何通过对与应急响应相关的复杂动态过程进行基于规则的行为分析来增强的方法。本文给出了当无线移动节点在测试环境中及时移动时室内定位的现场测试结果。利用Ekahau Wi-Fi实时定位系统监测移动节点的行为,生成RSSI地图。
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引用次数: 0
Optimizing radio map for WLAN fingerprinting 优化无线局域网指纹的无线地图
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5654332
H. Leppäkoski, S. Tikkinen, J. Takala
In this paper, questions related to design of WLAN radio map for fingerprinting based positioning were investigated. The experiment results show that with histogram based algorithms, the positioning accuracy improves as the number of histogram bins increases until the number of bins reaches eight. With the number of bins lower than this, the uneven bin distribution with separate bin for missing samples gives better accuracy than even bin widths. If the calibration data contains samples from several measurement directions, it is beneficial to combine them into one fingerprint, as this decreases the size of the radio map and gives at least the same accuracy as having separate fingerprints for different measurement directions. In the experiments, the combination of the signals from correlating sources before the computation of the radio map and position estimate decreases the positioning accuracy only by 1–2 m, but decreases significantly the size of the radio map. The best method for signal combinations depends on the bin configuration and position estimation algorithm.
本文研究了基于指纹定位的无线局域网无线地图设计的相关问题。实验结果表明,使用基于直方图的算法,定位精度随着直方图箱数的增加而提高,直到箱数达到8个。当箱数低于此值时,缺失样本的不均匀箱分布与单独的箱比均匀箱宽提供更好的准确性。如果校准数据包含来自多个测量方向的样本,则将它们组合成一个指纹是有益的,因为这减少了无线电图的大小,并且至少提供了与为不同测量方向使用单独指纹相同的精度。在实验中,计算射电图前的相关源信号与位置估计相结合,定位精度仅降低1 ~ 2 m,但射电图尺寸明显减小。信号组合的最佳方法取决于bin配置和位置估计算法。
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引用次数: 27
Distributed-weighted multidimensional scaling for hybrid Peer-to-Peer localization 混合点对点定位的分布加权多维尺度
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5648784
F. Sottile, M. Spirito, Mauricio A. Caceres, J. Samson
This paper presents a hybrid localization algorithm for a Peer-to-Peer (P2P)-Positioning scenario, where “peers” are devices equipped with both a GNSS (Global Navigation Satellite System) receiver and a wireless communications interface. Through their GNSS receiver, peers obtain pseudorange estimates from satellites while they use their wireless interface both to communicate with each other and to obtain terrestrial range estimates. The proposed algorithm is an extended version of the distributed-weighted multidimensional scaling (dwMDS) [1] algorithm to be compatible with the hybrid P2P scenario where unknown peers infer their own positions by fusing both GNSS pseudorange and terrestrial range estimates. Simulation results show that the proposed hybrid dwMDS (hdwMDS) algorithm out-performs the cooperative version of the least squares algorithm. Moreover, they show the related benefits in term of positioning performance in a cooperative scenario in comparison to a non cooperative one based on GNSS-only positioning.
本文提出了一种用于点对点(P2P)定位场景的混合定位算法,其中“对等点”是配备了GNSS(全球导航卫星系统)接收器和无线通信接口的设备。通过各自的GNSS接收机,对等体在使用各自的无线接口进行通信和获取地面距离估计的同时,获得来自卫星的伪距估计。该算法是分布式加权多维尺度(dwMDS)[1]算法的扩展版本,以兼容混合P2P场景,其中未知对等体通过融合GNSS伪距离和地面距离估计来推断自己的位置。仿真结果表明,所提出的混合dwMDS (hdwMDS)算法优于最小二乘协作算法。此外,与仅基于gnss定位的非合作场景相比,它们显示了在合作场景下定位性能的相关优势。
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引用次数: 6
A mobile data collection framework for the Sensor Web 用于传感器Web的移动数据收集框架
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5654036
Joni Jämsä, Mika Luimula, Johannes Schöning, J. Schulte, C. Stasch, S. Jirka
In the idea of the Sensor Web, sensors should be discoverable, accessible and taskable over the internet. In this paper, we present a mobile data collection framework for connecting wireless sensors with the Sensor Web by using mobile devices. The proposed system is an extension to Locawe platform including now mapping and WSN features together with features of SWE especially Sensor Observation Service (SOS) specified by the Open Geospatial Consortium. Therefore, the Locawe platform running on mobile devices is used to connect to 6LoWPAN sensors, store the measurements of the sensors on the device's memory, convert it into sensor web protocols and insert the measurements into a sensor service as soon as wireless internet connection is available. As a proof of concept, the system is used within an air quality monitoring scenario.
在传感器网络的概念中,传感器应该可以通过互联网被发现、访问和执行任务。在本文中,我们提出了一个移动数据收集框架,用于通过移动设备将无线传感器与传感器网络连接起来。拟议的系统是Locawe平台的扩展,包括现在的地图和WSN功能以及SWE功能,特别是开放地理空间联盟指定的传感器观测服务(SOS)。因此,在移动设备上运行的Locawe平台用于连接6LoWPAN传感器,将传感器的测量值存储在设备的内存中,将其转换为传感器web协议,并在无线互联网连接可用时将测量值插入传感器服务。作为概念验证,该系统在空气质量监测场景中使用。
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引用次数: 10
Data matrix technology for linking mobile maps in a web-based multi-channel service 在基于web的多渠道服务中链接移动地图的数据矩阵技术
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5654308
T. Sarjakoski, J. Kovanen, Mikko Rönneberg, Jaakko Kähkönen, L. Sarjakoski
In the paper we discuss how data matrices are being applied in an experimental way in the MenoMaps research project. One of the outcomes of the project is a map-based service prototype with multipublishing channels capable of delivering the same map data for the users via different media. We demonstrate how the data matrices could be displayed on paper maps as a link to location-specific information. The most promising applications are those where the content is very dynamic. We also show how a map application on a multitouch wall display can be linked through a data matrix to a map application on a mobile phone, to support the user's smooth switch from one channel to another. We carried out a user study on experimental hiking maps among the visitors of a national park in Finland. The survey reveled that user-awareness of the 2D barcode technology and usage is still low.
在本文中,我们讨论了数据矩阵如何在MenoMaps研究项目中以实验方式应用。该项目的成果之一是一个基于地图的服务原型,它具有多发布通道,能够通过不同的媒体为用户提供相同的地图数据。我们将演示如何将数据矩阵作为指向特定位置信息的链接显示在纸质地图上。最有前途的应用程序是那些内容非常动态的应用程序。我们还展示了如何通过数据矩阵将多点触控墙壁显示器上的地图应用程序链接到移动电话上的地图应用程序,以支持用户从一个通道平滑切换到另一个通道。我们在芬兰国家公园的游客中进行了一项关于实验性徒步旅行地图的用户研究。调查显示,用户对二维条码技术的认识和使用仍然很低。
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引用次数: 9
Content aggregation in personal location-aware mashup 个人位置感知混搭中的内容聚合
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5654284
L. Pei, Ruizhi Chen, T. Tenhunen, H. Kuusniemi, Yuwei Chen, Jingbin Liu
A personal location context mashup solution called LBS 2.0 is introduced in this paper. A widget based on the LBS 2.0 idea is implemented on a mobile phone to aggregate multiple contents from the internet. A Symbian-based web runtime location service is applied for calculating the location information including position, distance, time, and speed. A geolocation service offers an interpretation capability between coordinates and addresses. The principles for indentifying mashup sources are described. Contents retrieving and parsing processes are explained. Finally, a personal location aware utilization scenario is presented to show the contexts combined in the LBS 2.0 mashup on a Nokia 5800 XpressMusic handset.
本文介绍了一种名为LBS 2.0的个人位置上下文混搭解决方案。一个基于LBS 2.0思想的小部件在手机上实现,用于聚合来自互联网的多个内容。基于symbian的web运行时位置服务用于计算位置信息,包括位置、距离、时间和速度。地理定位服务提供坐标和地址之间的解释功能。描述了识别mashup源的原则。介绍了内容检索和解析过程。最后,提出了一个个人位置感知利用场景,以展示在Nokia 5800 XpressMusic手持设备上结合LBS 2.0 mashup的上下文。
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引用次数: 0
UWB, Multi-sensors and Wifi-Mesh based precision positioning for urban rail traffic 基于超宽带、多传感器和Wifi-Mesh的城市轨道交通精确定位
Pub Date : 2010-12-03 DOI: 10.1109/UPINLBS.2010.5654041
Hui Lin, Lei Ye, Yuanfei Wang
Precision positioning for moving targets is the key issue in urban rail traffic safety assurance and operational energy saving. Precision vehicle positioning can improve transportation capacity. Meanwhile, personnel tracking can enhance daily operations as well as rescue capabilities in the event an accident or emergency. This paper discusses the development of precision positioning solution based on UWB, Multi-sensors and Wi-Fi Mesh Network. Difference from the existing rail positioning technologies, the proposed approach is specially designed for underground tunnels, culverts and architectural indoor environments. The paper will also introduce a Time synchronization method which integrates the time base of COMPASS (Beidou) with IEEE 1588 technology, so as to avoid sole dependence on GPS clock signal. An innovation integration solution which will eventually reduce the investment of targets tracking system of urban rail and the personnel precision positioning technique will be the first-of-the-kind in Urban Rail Safety and Security applications.
运动目标的精确定位是城市轨道交通安全保障和运行节能的关键问题。精确的车辆定位可以提高运输能力。同时,人员跟踪可以提高日常操作以及在发生事故或紧急情况时的救援能力。本文讨论了基于超宽带、多传感器和Wi-Fi Mesh网络的精密定位方案的开发。与现有的轨道定位技术不同,该方法是专门为地下隧道、涵洞和建筑室内环境设计的。本文还将介绍一种将COMPASS(北斗)时基与IEEE 1588技术相结合的时间同步方法,避免了对GPS时钟信号的单一依赖。最终减少城市轨道目标跟踪系统和人员精确定位技术投资的创新集成解决方案,将是城市轨道安全与安防应用领域的首创。
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引用次数: 9
期刊
2010 Ubiquitous Positioning Indoor Navigation and Location Based Service
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