ILOS: A Data Collection Tool and Open Datasets for Fingerprint-based Indoor Localization

被引：3
|
作者：
Cooke, Mitchell [1 ]
Wei, Yongyong [1 ]
Hao, Yujiao [1 ]
Zheng, Rong [1 ]
机构：
[1] McMaster Univ, 1280 Main St W, Hamilton, ON, Canada
来源：
PROCEEDINGS OF THE FIRST WORKSHOP ON DATA ACQUISITION TO ANALYSIS (DATA '18) | 2018年
关键词：
Indoor Localization; Location Fingerprint;
D O I：
10.1145/3277868.3277876
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
Fingerprint based indoor localization is promising with distinctive signal readings such as Wi-Fi Received Signal Strength (RSS) and magnetic field in indoor environments. However, collecting location fingerprints is a time consuming process. In this paper, we present an efficient tool to collect location dependent data by utilizing inertial sensors on a smart phone. An empirical study shows that with this tool, location fingerprints can be quickly collected and an average localization accuracy around three meters can be achieved using Wi-Fi fingerprints only.
引用
收藏
页码：15 / 16
页数：2
相关论文
共 50 条
  • [1] TuRF: Fast Data Collection for Fingerprint-based Indoor Localization
    Li, Chenhe
    Xu, Qiang
    Gong, Zhe
    Zheng, Rong
    2017 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION (IPIN), 2017,
  • [2] An Evaluation of Fingerprint-Based Indoor Localization Techniques
    Karabey, Isil
    Bayindir, Levent
    2015 23RD SIGNAL PROCESSING AND COMMUNICATIONS APPLICATIONS CONFERENCE (SIU), 2015, : 2254 - 2257
  • [3] Performance Analysis of Fingerprint-Based Indoor Localization
    Yang, Lyuxiao
    Wu, Nan
    Xiong, Yifeng
    Yuan, Weijie
    Li, Bin
    Li, Yonghui
    Nallanathan, Arumugam
    IEEE INTERNET OF THINGS JOURNAL, 2024, 11 (13): : 23803 - 23819
  • [4] Confidence interval estimation for fingerprint-based indoor localization
    Nabati, Mohammad
    Ghorashi, Seyed Ali
    Shahbazian, Reza
    AD HOC NETWORKS, 2022, 134
  • [5] An Advanced Fingerprint-based Indoor Localization Scheme for WSNs
    Wang, Xizhe
    Qiu, Jian
    Ye, Sheng
    Dai, Guojun
    PROCEEDINGS OF THE 2014 9TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA), 2014, : 2164 - 2169
  • [6] Toward Practical Deployment of Fingerprint-Based Indoor Localization
    He, Suining
    Hu, Tianyang
    Chan, S. -H. Gary
    IEEE PERVASIVE COMPUTING, 2017, 16 (02) : 76 - 83
  • [7] An Adaptive Leverage Sampling Scheme for Fingerprint-based Indoor Localization
    Kang, Wentao
    Zheng, Haifeng
    Feng, Xinxin
    2018 10TH INTERNATIONAL CONFERENCE ON WIRELESS COMMUNICATIONS AND SIGNAL PROCESSING (WCSP), 2018,
  • [8] TILoc: Improving the Robustness and Accuracy for Fingerprint-Based Indoor Localization
    Li, Hualiang
    Qian, Zhihong
    Tian, Chunsheng
    Wang, Xue
    IEEE INTERNET OF THINGS JOURNAL, 2020, 7 (04) : 3053 - 3066
  • [9] Indoor Intelligent Fingerprint-Based Localization: Principles, Approaches and Challenges
    Zhu, Xiaoqiang
    Qu, Wenyu
    Qiu, Tie
    Zhao, Laiping
    Atiquzzaman, Mohammed
    Wu, Dapeng Oliver
    IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2020, 22 (04): : 2634 - 2657
  • [10] Exploiting Fingerprint Correlation for Fingerprint-Based Indoor Localization: A Deep Learning Based Approach
    Zhou, Chengyi
    Liu, Junyu
    Sheng, Min
    Zheng, Yang
    Li, Jiandong
    IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2021, 70 (06) : 5762 - 5774
12345