A pedestrian tracking algorithm using grid-based indoor model

被引：28
|
作者：
Xu, Weilin [1 ]
Liu, Liu [2 ]
Zlatanova, Sisi [3 ]
Penard, Wouter [4 ]
Xiong, Qing [5 ]
机构：
[1] UL Transact Secur, De Heyderweg 2, Leiden, Netherlands
[2] Tongji Univ, Coll Surveying & Geoinformat, Siping Rd, Shanghai 1239, Peoples R China
[3] Univ New South Wales, Built Environm, Red Ctr, Kensington Campus, Sydney, NSW 2052, Australia
[4] CGI Netherland, Hintzenweg 89, Rotterdam, Netherlands
[5] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, POB C310,129 Luoyu Rd, Wuhan 430079, Hubei, Peoples R China
来源：
AUTOMATION IN CONSTRUCTION | 2018年 / 92卷
关键词：
Pedestrian tracking; Indoor; Grid-based model; WiFi positioning system; SYSTEMS;
D O I：
10.1016/j.autcon.2018.03.031
中图分类号：
TU [建筑科学];
学科分类号：
0813 ;
摘要：
Pedestrian tracking is widely required by location-based services, e.g. indoor navigation, mobile advertising, and guidance for emergency response, etc. But indoor localization and tracking are still challenging due to the complexity of indoor environments and low positioning accuracy or/and precision. This paper presents an indoor pedestrian tracking approach that utilizes indoor environment constraints in the form of a grid-based indoor model to improve the localization of a WiFi-based system. The indoor space is subdivided into grid cells with a specific size and corresponding semantics. The algorithm recursively computes the location probability over these cells based on the indoor model and magnetometer measurements on a mobile phone. Our experiments prove that the proposed tracking approach can compensate for tracking errors such as improper locations, wrong headings and jumps between consequent locations, which significantly enhance the tracking performance.
引用
收藏
页码：173 / 187
页数：15
相关论文
共 50 条
  • [31] Grid-based improving clustering quality algorithm
    School of Electronics and Information Engineering, Xi'an Jiaotong University, Xi'an 710049, China
    不详
    Jisuanji Gongcheng, 2006, 3 (12-13+98):
  • [32] Tracking Moving Vehicles Using an Advanced Grid-based Bayesian Filter Approach
    Alin, Andreas
    Butz, Martin V.
    Fritsch, Jannik
    2011 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2011, : 466 - 472
  • [33] A Grid-Based Density Peaks Clustering Algorithm
    Fang, Xintong
    Xu, Zhen
    Ji, Haifeng
    Wang, Baoliang
    Huang, Zhiyao
    IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (04) : 5476 - 5484
  • [34] GBHE: Grid-Based Cryptography with AES Algorithm
    Rad, Nima Behnood
    Shah-Hosseini, Hamed
    ICCEE 2008: PROCEEDINGS OF THE 2008 INTERNATIONAL CONFERENCE ON COMPUTER AND ELECTRICAL ENGINEERING, 2008, : 185 - 189
  • [35] Grid-based Algorithm in Data Distribution Management
    Wang, Huiru
    Ding, Jing
    2010 INTERNATIONAL CONFERENCE ON INFORMATION, ELECTRONIC AND COMPUTER SCIENCE, VOLS 1-3, 2010, : 1986 - +
  • [36] Grid-based DBSCAN Algorithm with Referential Parameters
    Huang Darong
    Wang Peng
    INTERNATIONAL CONFERENCE ON APPLIED PHYSICS AND INDUSTRIAL ENGINEERING 2012, PT B, 2012, 24 : 1166 - 1170
  • [37] A Quick Map-Matching Algorithm by Using Grid-Based Selecting
    Wang Zuyun
    Du Yong
    Wang Gang
    Wu Dongdong
    2008 INTERNATIONAL WORKSHOP ON EDUCATION TECHNOLOGY AND TRAINING AND 2008 INTERNATIONAL WORKSHOP ON GEOSCIENCE AND REMOTE SENSING, VOL 1, PROCEEDINGS, 2009, : 306 - 311
  • [38] Grid-based Task Scheduling PMTS Algorithm
    Qiu, Jianlin
    Chen, Li
    Chen, Jianping
    Gu, Xiang
    Chen, Yanyun
    FRONTIERS OF MANUFACTURING AND DESIGN SCIENCE II, PTS 1-6, 2012, 121-126 : 4491 - 4497
  • [39] A fast consistent grid-based clustering algorithm
    Tarasenko, Anton S.
    Berikov, Vladimir B.
    Pestunov, Igor A.
    Rylov, Sergey A.
    Ruzankin, Pavel S.
    PATTERN ANALYSIS AND APPLICATIONS, 2024, 27 (04)
  • [40] A grid-based Bayesian approach to robust visual tracking
    Liu, Xinmin
    Lin, Zongli
    Acton, Scott T.
    DIGITAL SIGNAL PROCESSING, 2012, 22 (01) : 54 - 65
12345