2017 European Navigation Conference (ENC)最新文献_第4页

GNSS interference monitoring and characterisation station 全球导航卫星系统干扰监测和表征站

2017 European Navigation Conference (ENC) Pub Date : 2017-05-01 DOI: 10.1109/EURONAV.2017.7954206

J. R. van der Merwe, D. Meister, Christian Otto, Manuel Stahl, A. Rügamer, Josu Etxezarreta Martinez, W. Felber

引用次数: 7

Visualizing Wi-Fi Access Point measurements and location data using graph layouts 使用图形布局可视化Wi-Fi接入点测量和位置数据

2017 European Navigation Conference (ENC) Pub Date : 2017-05-01 DOI: 10.1109/EURONAV.2017.7954225

R. Guinness, José M. Vallet García

{"title":"Visualizing Wi-Fi Access Point measurements and location data using graph layouts","authors":"R. Guinness, José M. Vallet García","doi":"10.1109/EURONAV.2017.7954225","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954225","url":null,"abstract":"Building and maintaining a database of Wi-Fi measurements in order to enable global WLAN-based positioning is a challenging and costly task, one whose cost can be minimized by crowdsourcing measurements from mobile phone users. Nonetheless, crowdsourcing Wi-Fi measurements poses a number of challenges, including the sheer size of data one must process and manage. In this paper, we present methods aimed at visualizing a large dataset of Wi-Fi signal strength measurements (n ≈ 2.3 × 106). Some of the measurements include associated location data, whereas a large number do not. This situation led us to represent the data as a graph, capturing the inherent spatial structure of Wi-Fi scan data. We define a subset of Access Points (APs) as “anchor nodes” and estimate their positions using a generalized least squares (GLS) estimator. We then employ a force-directed graph layout algorithm to lay-out the remaining APs in relation to the anchor nodes. The resulting graph layout provides a visualization of the entire dataset, which is inherently useful for further investigations, such as identifying where future data collection campaigns should be targeted.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115398529","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

Combining Bundle Adjustment with a Digital Terrain Map: Soft and hard constraints 结合束调整与数字地形图:软硬约束

2017 European Navigation Conference (ENC) Pub Date : 2017-05-01 DOI: 10.1109/EURONAV.2017.7954218

Amir B. Geva, Barak Pinkovich, E. Rivlin, H. Rotstein

引用次数: 1

Design and validation of a flexible software-based generator of realistic GNSS signals 基于软件的灵活GNSS信号发生器的设计与验证

2017 European Navigation Conference (ENC) Pub Date : 2017-05-01 DOI: 10.1109/EURONAV.2017.7954201

T. Nguyen, B. Motella, D. Margaria, T. H. Ta

引用次数: 0

A general approach to time-varying parameters in pose-graph optimization 位姿图优化中时变参数的一般方法

2017 European Navigation Conference (ENC) Pub Date : 2017-05-01 DOI: 10.1109/EURONAV.2017.7954217

D. Cucci, P. Clausen, J. Skaloud, M. Matteucci

引用次数: 5

On the cleansing and inspection of GPS ephemeris data 2000–2016 2000-2016年GPS星历数据的清理与检验

2017 European Navigation Conference (ENC) Pub Date : 2017-05-01 DOI: 10.1109/EURONAV.2017.7954194

A. Lie, Aiden Morrison, N. Sokolova, M. Topland

引用次数: 0

Snapshot residual and Kalman Filter based fault detection and exclusion schemes for robust railway navigation 基于快照残差和卡尔曼滤波的鲁棒铁路导航故障检测与排除方案

2017 European Navigation Conference (ENC) Pub Date : 2017-05-01 DOI: 10.1109/EURONAV.2017.7954171

A. Grosch, Omar García Crespillo, I. Martini, C. Günther

{"title":"Snapshot residual and Kalman Filter based fault detection and exclusion schemes for robust railway navigation","authors":"A. Grosch, Omar García Crespillo, I. Martini, C. Günther","doi":"10.1109/EURONAV.2017.7954171","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954171","url":null,"abstract":"Integrating satellite based navigation into the railway standard can enable reliable and cost-efficient railway navigation everywhere. This makes is very attractive for railway. Thus its integration is strongly supported within the European railway evolution program. However, railway environments exhibit many challenges. Local threats are major issues for robust GNSS based railway navigation. They cannot be observed by any augmentation methods and can cause hazardous misleading information. Hence, they form an integrity risk, which needs to be detected and mitigated by the onboard system. We analyze three different approaches suitable for railway: two snapshot approaches exploiting track constraints during or after the GNSS position determination, and a sequential approach using an Extended Kalman Filter. We derive global fault detection and exclusion (FDE) schemes for all three positioning methods. We measure their performance in terms of along track position accuracy and position uncertainty. Additionally, we investigate each scheme's FDE quality in detail and clearly show that the innovation based FDE of the extended Kalman filter has the best performance in terms of along track position, fault detection capability and exclusion gain. All investigations are done via Monte-Carlo simulations. The considered scenario was extracted from data collected during a measurement campaign in Brunswick, Germany.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131701495","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: 29

Adaptive and conjoint scalar-vector tracking loops for GNSS tracking robustness and positioning integrity 基于自适应和联合标量矢量跟踪环的GNSS跟踪鲁棒性和定位完整性

2017 European Navigation Conference (ENC) Pub Date : 2017-05-01 DOI: 10.1109/EURONAV.2017.7954168

E. Amani, Karim D Djouani, Jean-Rémi De Boer, A. Kurien, W. Vigneau, T. Junique, Franck Barbiero, Marion Aubault

{"title":"Adaptive and conjoint scalar-vector tracking loops for GNSS tracking robustness and positioning integrity","authors":"E. Amani, Karim D Djouani, Jean-Rémi De Boer, A. Kurien, W. Vigneau, T. Junique, Franck Barbiero, Marion Aubault","doi":"10.1109/EURONAV.2017.7954168","DOIUrl":"https://doi.org/10.1109/EURONAV.2017.7954168","url":null,"abstract":"Maintaining robust tracking and positioning integrity in harsh environments is a real challenge for GNSS receivers. This paper considers three possible tracking and navigation solutions to address this challenge. Firstly, a vector tracking loop (VTL) capable of using correlator-based multipath detectors and other signal quality indicators to exclude contaminated satellites from the PVT calculation is proposed. Secondly, an adaptive scalar-vector tracking loop (STL-VTL) that continuously switches between STL and VTL modes based on the state of signal quality indicators is considered. Lastly, a conjoint scalar-vector tracking scheme which maintains STL and VTL modes simultaneously then chooses the measurements to be fed to the navigator based on the state of quality indicators is suggested. To evaluate the performance of the proposed solutions, the trajectory and environment simulator developed by the German Aerospace Center (DLR) is used to simulate GPS signals in harsh suburban and urban conditions. The exclusion of multipath contaminated satellites from PVT calculation improves PVT accuracy and tracking performance. The adaptive and conjoint STL-VTL schemes allow, each in its way, to exploit the advantages of both STL and VTL regarding positioning reliability and tracking robustness.","PeriodicalId":145124,"journal":{"name":"2017 European Navigation Conference (ENC)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132363371","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: 4

Inertially-aided RTK based on tightly-coupled integration using low-cost GNSS receivers 基于低成本GNSS接收机紧密耦合集成的惯性辅助RTK

2017 European Navigation Conference (ENC) Pub Date : 2017-05-01 DOI: 10.1109/EURONAV.2017.7954208

M. Dorn, J. O. Filwarny, M. Wieser

引用次数: 19

Pedestrian positioning using WiFi fingerprints and a foot-mounted inertial sensor 行人定位使用WiFi指纹和脚装惯性传感器

2017 European Navigation Conference (ENC) Pub Date : 2017-04-11 DOI: 10.1109/EURONAV.2017.7954197

Yang Gu, Caifa Zhou, A. Wieser, Zhimin Zhou

引用次数: 14