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2013 10th Workshop on Positioning, Navigation and Communication (WPNC)最新文献

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Hybrid RFID system-based pedestrian localization: A case study 基于混合RFID系统的行人定位:一个案例研究
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533296
Haowei Wang, G. Bauer, F. Kirsch, M. Vossiek
{"title":"Hybrid RFID system-based pedestrian localization: A case study","authors":"Haowei Wang, G. Bauer, F. Kirsch, M. Vossiek","doi":"10.1109/WPNC.2013.6533296","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533296","url":null,"abstract":"Localization systems using RFID - especially passive RFID - are coming increasingly under the spotlight. Passive RFID has a relatively small sensing range compared to other radio-frequency-based localization techniques. Therefore in practice the deployed tags may not cover the whole scene of interest. Additionally, in the area of pedestrian localization, the unpredictable movement of pedestrians makes a complete RFID tag coverage extremely difficult. This paper introduces a hybrid RFID localization system used for indoor pedestrians to overcome the coverage shortfall associated with passive RFID tags. Two extra sources are used to assist the RFID system: local INS sensors and ZigBee nodes. A particle filter serves as a fusion framework. A test scenario was built with 220 RFID tags and 8 ZigBee nodes deployed in a museum. Different algorithms were evaluated in this deployment. The results show that the hybrid approach produces robust localization even with a low number of tags.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125119842","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Server based indoor navigation using RSSI and inertial sensor information 基于RSSI和惯性传感器信息的服务器式室内导航
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533263
M. K. Hoang, Sarah Schmitz, C. Drueke, Dang Hai Tran Vu, Joerg Schmalenstroeer, Reinhold Häb-Umbach
{"title":"Server based indoor navigation using RSSI and inertial sensor information","authors":"M. K. Hoang, Sarah Schmitz, C. Drueke, Dang Hai Tran Vu, Joerg Schmalenstroeer, Reinhold Häb-Umbach","doi":"10.1109/WPNC.2013.6533263","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533263","url":null,"abstract":"In this paper we present a system for indoor navigation based on received signal strength index information of Wireless-LAN access points and relative position estimates. The relative position information is gathered from inertial smartphone sensors using a step detection and an orientation estimate. Our map data is hosted on a server employing a map renderer and a SQL database. The database includes a complete multilevel office building, within which the user can navigate. During navigation, the client retrieves the position estimate from the server, together with the corresponding map tiles to visualize the user's position on the smartphone display.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125862432","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 8
Localization based on fusion of RFID and stereo image data 基于RFID和立体图像数据融合的定位
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533297
Fynn Schwiegelshohn, Theresa Nick, J. Götze
{"title":"Localization based on fusion of RFID and stereo image data","authors":"Fynn Schwiegelshohn, Theresa Nick, J. Götze","doi":"10.1109/WPNC.2013.6533297","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533297","url":null,"abstract":"A system that localizes and identifies trolleys in the entry area of a distribution center is presented in this paper. The area is monitored by an RFID reading system (consisting of four antennae and a fixed RFID reader) and an inexpensive pair of webcams. The trolleys are equipped with a passive RFID tag and an optical marker. The system uses a Particle Filter to combine Received Signal Strength Indication (RSSI) data from the RFID system and image data from the webcams. We propose procedures to improve RFID and camera localization accuracy. The resulting system achieves an accuracy of less than 30 cm in static and the most likely dynamic scenarios.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122946219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 13
Low complexity TOA estimator for multiuser DS-UWB system 多用户DS-UWB系统的低复杂度TOA估计
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533284
Hang Ma, P. Acco, M. Boucheret, D. Fournier-Prunaret
{"title":"Low complexity TOA estimator for multiuser DS-UWB system","authors":"Hang Ma, P. Acco, M. Boucheret, D. Fournier-Prunaret","doi":"10.1109/WPNC.2013.6533284","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533284","url":null,"abstract":"In this paper, we present a low complexity Time Of Arrival (TOA) estimator for direct-sequence ultra-wideband (DS-UWB) ranging system. With the assumption that TOA is the integer multiples of chip duration, our decoupled multiuser ranging (DEMR) estimator employs integrate-and-dump filter (IDF) in chip sampling rate instead of matched filter (MF) as the front-end to reduce sampling rate and to simplify the structure of estimator. This subsampling estimator is simplified substantially in dense multipath environment furthermore due to the long repetition time of DS-UWB pulse. Simulation results show that compared with other low complexity TOA estimator, DEMR estimator is not only quite near-far resistant, but also can obtain noticeable ranging performance in the fully loaded system.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129606422","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Semi-blind channel estimation for joint communication and positioning 联合通信与定位半盲信道估计
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533283
Rebecca Adam, P. Hoeher
{"title":"Semi-blind channel estimation for joint communication and positioning","authors":"Rebecca Adam, P. Hoeher","doi":"10.1109/WPNC.2013.6533283","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533283","url":null,"abstract":"In this contribution, semi-blind channel estimation for joint communication and positioning (JCAP) is proposed. The concept is based on a unified signal architecture. Within this framework channel estimation is the core part, since it links communication and positioning algorithms. Thus, channel estimation serves twofold purposes: Firstly, it is inherently required for data detection and secondly it is employed to estimate positioning relevant information like the time of arrival (TOA). JCAP aims at exploiting synergetic effects. Employing semi-blind channel estimation is beneficial in this context, since it allows to assimilate the estimated communication data as virtual training.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"140 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116447151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 5
Joint motion capture and navigation in heterogeneous Body Area Networks with distance estimation over neighborhood graph 基于邻域图距离估计的异质体域网络联合运动捕获与导航
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533282
J. Hamie, B. Denis, C. Richard
{"title":"Joint motion capture and navigation in heterogeneous Body Area Networks with distance estimation over neighborhood graph","authors":"J. Hamie, B. Denis, C. Richard","doi":"10.1109/WPNC.2013.6533282","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533282","url":null,"abstract":"We present and compare here solutions adapted to heterogeneous Wireless Body Area Networks (WBANs) to jointly fulfil indoor navigation and motion capture needs over large-scale trajectories. On-body devices are localized at the building scale by combining peer-to-peer range measurements over intra-WBAN links and further measurements with respect to external anchors forming the building infrastructure. Those measurements rely on two main low data rate radio technologies, namely the Impulse Radio - Ultra Wideband (IR-UWB) and a Narrow Band technology at 2.4GHz, providing respectively Time (Difference) Of Arrival (T(D)OA) estimates and Received Signal Strength Indicators (RSSI). This new Large Scale Individual Motion Capture (LSIMC) functionality is then investigated within two algorithmic embodiments. In a first 2-step scheme, the positions of on-body nodes are preliminary estimated in a body-strapped Local Coordinates System (LCS) before being expressed into an absolute Global Coordinates System (GCS) after a set of transformations, whereas the second option considers localizing directly the nodes into the GCS using all the available measurements. Simulations illustrate particularly the harmful impact of body obstructions. We also propose a method to mitigate these effects and approximate measurements over obstructed or erroneous links, by computing the shortest distance in graph neighborhood.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":" 85","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113952824","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 9
A pocket guide to indoor mapping 室内制图袖珍指南
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533272
Pascal Bissig, Roger Wattenhofer, S. Welten
{"title":"A pocket guide to indoor mapping","authors":"Pascal Bissig, Roger Wattenhofer, S. Welten","doi":"10.1109/WPNC.2013.6533272","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533272","url":null,"abstract":"In this paper, we present a way to obtain accurate WLAN signal strength maps in indoor environments, without dedicated hardware, and without a time consuming and complicated training process. We need two contributions towards this end. First, we present a novel dead-reckoning technique, to gather accurate user motion estimates. This motion data is combined with information about the signal strength of access points of the wireless infrastructure. Our second contribution lies in the efficient integration of this complementary information into a system that allows for easy mapping and requires nothing but a smartphone. All the required data is gathered from people walking casually around in an area of interest while carrying a smartphone in their pocket.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"231 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116429374","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 11
Sensor fusion for relative altimetry using a hybrid Gaussian mixture filter 基于混合高斯滤波器的相对测高传感器融合
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533278
Lara Thomas, A. Monin, P. Mouyon, Nour-ed-din Houberdon
{"title":"Sensor fusion for relative altimetry using a hybrid Gaussian mixture filter","authors":"Lara Thomas, A. Monin, P. Mouyon, Nour-ed-din Houberdon","doi":"10.1109/WPNC.2013.6533278","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533278","url":null,"abstract":"We consider the problem of merging measurements when the sensors are likely to be affected by multiple malfunctions. An hybrid model is introduced which describes the dynamic behavior of the various sensors not only under each operating mode, but also during mode transitions. The data fusion problem is then written within the Bayesian probabilistic framework, as an estimation problem. Its optimal solution can be approximated numerically in multiple ways. The Gaussian mixture approach is well adapted because of the multiple hypothesis context. This led us to the development of an hybrid Gaussian mixture filter. The application we dealt with is the improvement of the relative altitude sensing function onboard aircraft. It aims to deliver the height of the aircraft above the ground. Currently this function is only supported by the radio-altimeters system along with specific thresholding and voting logics. Our approach leads to a joint estimation of the relative height and of the sensors operating modes. It thus allows to combine various sensors while monitoring their modes easily. We particularly focus on the case of two radio altimeters, which is the current situation.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127453213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Empirical localisation method for wireless sensor nodes in confined industrial processes 受限工业过程中无线传感器节点的经验定位方法
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533265
M. Antoniou, P. Green
{"title":"Empirical localisation method for wireless sensor nodes in confined industrial processes","authors":"M. Antoniou, P. Green","doi":"10.1109/WPNC.2013.6533265","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533265","url":null,"abstract":"This paper is concerned with a novel localisation method for wireless sensors, immersed within vessels, to monitor process dynamics. The empirical localisation technique is based on Time Difference of Arrival measurements taken on a plane located above the process vessel. Certain properties of the Time Difference of Arrival profiles converted into Distance Difference profiles, are proved mathematically. These properties form the basis of a new localisation method, which, on the basis of experimental measurements, have shown to achieve localisation accuracies up to 15cm.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"98 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122622234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A precise proximity-weight formulation for map matching algorithms 地图匹配算法的精确接近权公式
2013 10th Workshop on Positioning, Navigation and Communication (WPNC) Pub Date : 2013-03-20 DOI: 10.1109/WPNC.2013.6533291
Ali Oran, Patrick Jaillet
{"title":"A precise proximity-weight formulation for map matching algorithms","authors":"Ali Oran, Patrick Jaillet","doi":"10.1109/WPNC.2013.6533291","DOIUrl":"https://doi.org/10.1109/WPNC.2013.6533291","url":null,"abstract":"With the increased use of satellite-based navigation devices in civilian vehicles, map matching (MM) studies have increased considerably in the past decade. Frequency of the data, and denseness of the underlying road network still dictate the accuracy limits of current MM algorithms. One practical way that can improve the accuracy of most MM approaches is to use more precise weights for the candidate road segments. Because of the geometric nature of the MM problem, proximity-weights have been considered in almost every MM study. However, being formulated through the shortest distance measure, these weights are prone to inaccuracies. We propose a new, more precise, proximity-weight formulation based on a cumulative proximity function which only assumes that the positioning data displays Gaussian distribution errors. Proposed formulations are developed independent of any MM approach, and for this reason they can be used easily under any future MM algorithm.","PeriodicalId":434944,"journal":{"name":"2013 10th Workshop on Positioning, Navigation and Communication (WPNC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2013-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133324464","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
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