The Smartphone-Based Offline Indoor Location Competition at IPIN 2016: Analysis and Future Work

被引:53
作者
Torres-Sospedra, Joaquin [1 ]
Jimenez, Antonio R. [2 ]
Knauth, Stefan [3 ]
Moreira, Adriano [4 ]
Beer, Yair [5 ]
Fetzer, Toni [6 ]
Ta, Viet-Cuong [7 ]
Montoliu, Raul [1 ]
Seco, Fernando [2 ]
Mendoza-Silva, German M. [1 ]
Belmonte, Oscar [1 ]
Koukofikis, Athanasios [3 ]
Nicolau, Maria Joao [4 ]
Costa, Antonio [4 ]
Meneses, Filipe [8 ]
Ebner, Frank [6 ]
Deinzer, Frank [6 ]
Vaufreydaz, Dominique [9 ]
Dao, Trung-Kien [7 ]
Castelli, Eric [7 ]
机构
[1] Univ Jaume 1, Inst New Imaging Technol, Castellon de La Plana 12071, Spain
[2] UPM, CSIC, CAR, Arganda Del Rey 28500, Spain
[3] HFT Stuttgart Univ Appl Sci, Fac Geomat Comp Sci & Math, D-70174 Stuttgart, Germany
[4] Univ Minho, Algoritmi Res Ctr, P-4800058 Guimaraes, Portugal
[5] BlockDox, 129 Finchley Rd, London NW3 6HY, England
[6] Univ Appl Sci Wurzburg Schweinfurt, Fac Comp Sci & Business Informat Syst, D-97070 Wurzburg, Germany
[7] Hanoi Univ Sci & Technol, MICA Inst, CNRS, Grenoble INP,UMI2954, Hanoi 100000, Vietnam
[8] CCG, P-4800058 Guimaraes, Portugal
[9] Univ Grenoble Alpes, Inria, LIG, Pervas Interact LIG,CNRS, F-38000 Grenoble, France
关键词
indoor localization technology; indoor navigation; smartphone applications; evaluation and benchmarking; POSITIONING SYSTEMS; MOBILE;
D O I
10.3390/s17030557
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
This paper presents the analysis and discussion of the off-site localization competition track, which took place during the Seventh International Conference on Indoor Positioning and Indoor Navigation (IPIN 2016). Five international teams proposed different strategies for smartphone-based indoor positioning using the same reference data. The competitors were provided with several smartphone-collected signal datasets, some of which were used for training (known trajectories), and others for evaluating (unknown trajectories). The competition permits a coherent evaluation method of the competitors' estimations, where inside information to fine-tune their systems is not offered, and thus provides, in our opinion, a good starting point to introduce a fair comparison between the smartphone-based systems found in the literature. The methodology, experience, feedback from competitors and future working lines are described.
引用
收藏
页数:17
相关论文
共 53 条
[1]  
Adler S., 2015, P IEEE 6 INT C IND P
[2]  
[Anonymous], 2015, MICROSOFT INDOOR LOC
[3]  
[Anonymous], CRAWDAD DATASET CMU
[4]  
[Anonymous], MICROSOFT INDOOR LOC
[5]  
[Anonymous], 2012, CRAWDAD DATASET UIUC
[6]   An experimental characterization of reservoir computing in ambient assisted living applications [J].
Bacciu, Davide ;
Barsocchi, Paolo ;
Chessa, Stefano ;
Gallicchio, Claudio ;
Micheli, Alessio .
NEURAL COMPUTING & APPLICATIONS, 2014, 24 (06) :1451-1464
[7]  
Barsocchi P, 2013, EVALUATING INDOOR LO, P1
[8]   A multisource and multivariate dataset for indoor localization methods based on WLAN and geo-magnetic field fingerprinting [J].
Barsocchi, Paolo ;
Crivello, Antonino ;
La Rosa, Davide ;
Palumbo, Filippo .
2016 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2016,
[9]  
Barsocchi P, 2012, COMM COM INF SC, V309, P1
[10]  
Botia J. A., 2013, COMMUNICATIONS COMPU