RAPOSI: Rapidly installable positioning system for indoor environments

被引:0
|
作者
Schreiner, F [1 ]
Ziemek, H [1 ]
机构
[1] Fraunhofer FOKUS, Next Generat Network Integrat, D-10589 Berlin, Germany
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
RAPOSI is a radio-signal-strength based positioning system for indoor environments. Independent self-localization as well as centralized tracking of light-weight mobile devices is enabled. By omitting typically required a-priori scene analysis, set-up time is minimized. The positioning strategy is propagation-model based, retrieving and filtering radio-signal strength measurements from as many neighbouring reference points as possible and mapping them to distances. In order to increase reference-point densities, RAPOSI integrates several wireless technologies, namely 802.11 WLAN, Bluetooth and RFID. The results emphasize the benefits of hybridization, describe technology-specific neighbourhood-detection mechanisms, evaluate positioning algorithms, highlight advantages of adaptive position smoothing filters and finally evaluate overall positioning accuracy. Essentially important for the performance of the positioning system is the specific choice of the integrated RFID technology. The benefits of long-range semi-active UHF RFID tags that propagate their position and whose radio-signal-strength can be measured continuously, heavily account for the performance of RAPOSI.
引用
收藏
页码:344 / 353
页数:10
相关论文
共 50 条
  • [1] An Ultrasonic Indoor Positioning System for Harsh Environments
    Carter, Daniel J.
    Silva, Bruno J.
    Qureshi, Umair M.
    Hancke, Gerhard P.
    [J]. IECON 2018 - 44TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2018, : 5215 - 5220
  • [2] Angle-based Indoor Positioning System for Open Indoor Environments
    Belloni, Fabio
    Ranki, Ville
    Kainulainen, Antti
    Richter, Andreas
    [J]. WPNC: 2009 6TH WORKSHOP ON POSITIONING, NAVIGATION AND COMMUNICATION, PROCEEDINGS, 2009, : 261 - +
  • [3] Low Complexity Positioning System for Indoor Multipath Environments
    Luecken, Heinrich
    Wittneben, Armin
    [J]. 2010 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, 2010,
  • [4] Robust indoor positioning system in poor infrastructure environments
    Shin, Beomju
    Lee, Jung Ho
    Yu, Changsoo
    Kyung, Hankyeol
    Kim, Teahun
    Lee, Taikjin
    [J]. 2022 INTERNATIONAL CONFERENCE ON ELECTRONICS, INFORMATION, AND COMMUNICATION (ICEIC), 2022,
  • [5] An Energy-Aware Indoor Positioning System for AAL Environments
    Koehler, Frank
    Thoss, Marcus
    Aring, Alexander
    [J]. 2010 INTERNATIONAL CONFERENCE ON INDOOR POSITIONING AND INDOOR NAVIGATION, 2010,
  • [6] A Robust UWB Indoor Positioning System for Highly Complex Environments
    Garcia, Enrique
    Poudereux, Pablo
    Hernandez, Alvaro
    Urena, Jesus
    Gualda, David
    [J]. 2015 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2015, : 3386 - 3391
  • [7] Analysis of a kalman approach for a pedestrian positioning system in indoor environments
    Herrera, Edith Pulido
    Quiros, Ricardo
    Kaufmann, Hannes
    [J]. EURO-PAR 2007 PARALLEL PROCESSING, PROCEEDINGS, 2007, 4641 : 931 - +
  • [8] LIPS: A Light Intensity-Based Positioning System for Indoor Environments
    Xie, Bo
    Chen, Kongyang
    Tan, Guang
    Lu, Mingming
    Liu, Yunhuai
    Wu, Jie
    He, Tian
    [J]. ACM TRANSACTIONS ON SENSOR NETWORKS, 2016, 12 (04)
  • [9] Local positioning system (LPS) for indoor environments using a camera array
    Fernández, I
    Mazo, M
    Lázaro, JL
    Martín, P
    García, S
    [J]. PROCEEDINGS OF THE 11TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS 2003, VOL 1-3, 2003, : 613 - 618
  • [10] A Study on the Implementation of a 3-Dimensional Positioning System on Indoor Environments
    Kim, Hwi-Hwan
    Kang, Byeong-Gwon
    [J]. 2014 INTERNATIONAL CONFERENCE ON ADVANCED TECHNOLOGIES FOR COMMUNICATIONS (ATC), 2014, : 750 - 753