research-article

Cross-assistive approach for PDR and Wi-Fi positioning

Authors:

Kazuya Miyazaki,

Masahiro Mochizuki,

Kazuya Murao,

Nobuhiko NishioAuthors Info & Claims

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

Pages 777 - 786

https://doi.org/10.1145/2638728.2641303

Published: 13 September 2014 Publication History

Get Access

Abstract

In indoor positioning using Wi-Fi, there is a problem that the accuracy is not stable by the occurrence of large errors. Large errors tend to occur when density of wireless LAN access points is low or the radio wave condition is unstable. Furthermore, as for positioning utilising smartphone, it takes a while to scan Wi-Fi beacons. Thereby, errors tend to occur while user is moving. Because it is difficult to observe exactly Wi-Fi beacons. Accordingly, the authors proposed Cross-Assistive Approach for PDR and Wi-Fi Positioning. First of all, fingerprinting that is often used Wi-Fi positioning is improved by confining fingerprints to location where is estimated by PDR. As a result, this approach improved the accuracy about 2 meters. Furthermore, in order to correct accumulated errors in PDR, the authors proposed a method that corrects PDR with accurate Wi-Fi positioning results. Additionally, the authors proposed a method that estimates the accuracy of Wi-Fi positioning results. The mean error of accurate Wi-Fi results estimated by the accuracy estimating method was 0.98 meters. Thus, the accuracy estimating method detected accurate Wi-Fi positioning results effectively. In the comprehensive evaluation, our approach improved an existing Wi-Fi method about 3.4 meters by assisted PDR with Wi-Fi positioning and assisted Wi-Fi positioning with PDR cooperatively. Moreover, this approach enabled accumulated errors in PDR to be corrected.

References

[1]

Yelp. http://www.yelp.com/.

Google Scholar

[2]

Foursquare. https://ja.foursquare.com/.

Google Scholar

[3]

D. Manandhar, S. Kawaguchi, M. Uchida, M. Ishii, and H. Torimoto. IMES for Mobile Users Social Implementation and Experiments based on Existing Cellular Phones for Seamless Positioning. International Symposium on GPS/GNSS, 2008.

Google Scholar

[4]

Anthony LaMarca, Yatin Chawathe, Sunny Consolvo, Jeffrey Highttower, Ian Smith, James Scott, Tim Sohn, James Howard, Jeff Hughes, Fred Potter, Jason Tabert, Pauline Powledge, Gaetano Borriello, and Bill Schilit. Place Lab: Device Positioning Using Radio Beacons in the Wild. Pervasive, 2005.

Digital Library

Google Scholar

[5]

Nobuhiko Nishio, Ryuta Oka, Tran Xuan Duc, and Ismail Arai. Place Sticker: Energy Harvesting Approach for Low Cost Wi-Fi AP Positioning Infrastructure. Pervasive, 2011, 2011.

Google Scholar

[6]

Paramvir Bahl and Venkata N. Padmanabhan. Radar: An in-building rf-based user location and tracking system. IEEE INFOCOM, 2000.

Crossref

Google Scholar

[7]

Nigel Davies, Elizabeth D. Mynatt, and Itiro Siio. Particle filters for location estimation in ubiquitous computing: A case study. Vol. 3205 of Lecture Notes in Computer Science, pp. 88--106. Springer Berlin Heidelberg, 2004.

Google Scholar

[8]

Yunye Jin, Hong-Song Toh, Wee-Seng Soh, and Wai-Choong Wong. A robust dead-reckoning pedestrian tracking system with low cost sensors. In Pervasive Computing and Communications (PerCom), 2011 IEEE International Conference on, pp. 222--230, March 2011.

Digital Library

Google Scholar

[9]

Artur Baniukevic, Christian S. Jensen, and Hua Lu. Hybrid Indoor Positioning With Wi-Fi and Bluetooth: Architecture and Performance. In Mobile Data Management (MDM), 2013 IEEE 14th International Conference on, Vol. 1, pp. 207--216. IEEE, 2013.

Digital Library

Google Scholar

[10]

Frédéric Evennou and François Marx. Advanced Integration of WiFi and Inertial Navigation Systems for Indoor Mobile Positioning. EURASIP Journal, 4 2006.

Digital Library

Google Scholar

Cited By

View all

Ueda KMiyoshi T(2019)Autonomous Navigation Control of UAV Using Wireless Smart Meter DevicesJournal of Telecommunications and Information Technology10.26636/jtit.2019.1323192:2019(64-72)Online publication date: 28-Jun-2019
https://doi.org/10.26636/jtit.2019.132319
Hassen WNajjar FNabi MKriaa SKosch HBrunie L(2018)Multi-floor pedestrian navigation service based on a hybrid indoor positioning system2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMOB.2018.8589133(1-9)Online publication date: Oct-2018
https://doi.org/10.1109/WiMOB.2018.8589133
Li HChen XJing GWang YCao YLi FZhang XXiao H(2015)An Indoor Continuous Positioning Algorithm on the Move by Fusing Sensors and Wi-Fi on SmartphonesSensors10.3390/s15122985015:12(31244-31267)Online publication date: 11-Dec-2015
https://doi.org/10.3390/s151229850
Show More Cited By

Index Terms

Cross-assistive approach for PDR and Wi-Fi positioning
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. System management
        Quality assurance

Recommendations

Evaluation of cross-assistive approach for PDR and Wi-Fi positioning in the real environment
UbiComp/ISWC'15 Adjunct: Adjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers

Hybrid indoor positioning researches, which aim improving the positioning accuracy by applying multiple positioning techniques, are the focus of many researchers in these days. However, the current approaches do not consider the positioning accuracy, ...
Research on Indoor Positioning Based on Fusion of WI-FI/PDR
ICMSSP '18: Proceedings of the 3rd International Conference on Multimedia Systems and Signal Processing

Due to variance problems of the Received Signal Strength Indicator (RSSI), the Wi-Fi fingerprinting (WF) positioning has great volatility. Although several calibration algorithms have been proposed, the effect is unsatisfied. In this paper, we presented ...
Hybrid Indoor Positioning with Wi-Fi and Bluetooth: Architecture and Performance
MDM '13: Proceedings of the 2013 IEEE 14th International Conference on Mobile Data Management - Volume 01

Reliable indoor positioning is an important foundation for emerging indoor location based services. Most existing indoor positioning proposals rely on a single wireless technology, e.g., Wi-Fi, Bluetooth, or RFID. A hybrid positioning system combines ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

UbiComp '14 Adjunct: Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication

September 2014

1409 pages

ISBN:9781450330473

DOI:10.1145/2638728

General Chairs:
AJ Brush
Microsoft Research
,
Adrian Friday
Lancaster University, UK
,
Program Chairs:
Julie Kientz
University of Washington
,
James Scott
Microsoft Research, UK
,
Junehwa Song
Korea Advanced Institute of Science and Technology (KAIST), KR

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

In-Cooperation

SIGSPATIAL: ACM Special Interest Group on Spatial Information

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2014

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

UbiComp '14

Sponsor:

UbiComp '14: The 2014 ACM Conference on Ubiquitous Computing

September 13 - 17, 2014

Washington, Seattle

Acceptance Rates

Overall Acceptance Rate 764 of 2,912 submissions, 26%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

4
Total Citations
View Citations
202
Total Downloads

Downloads (Last 12 months)0
Downloads (Last 6 weeks)0

Reflects downloads up to 04 Oct 2024

Other Metrics

View Author Metrics

Citations

Cited By

View all

Ueda KMiyoshi T(2019)Autonomous Navigation Control of UAV Using Wireless Smart Meter DevicesJournal of Telecommunications and Information Technology10.26636/jtit.2019.1323192:2019(64-72)Online publication date: 28-Jun-2019
https://doi.org/10.26636/jtit.2019.132319
Hassen WNajjar FNabi MKriaa SKosch HBrunie L(2018)Multi-floor pedestrian navigation service based on a hybrid indoor positioning system2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMOB.2018.8589133(1-9)Online publication date: Oct-2018
https://doi.org/10.1109/WiMOB.2018.8589133
Li HChen XJing GWang YCao YLi FZhang XXiao H(2015)An Indoor Continuous Positioning Algorithm on the Move by Fusing Sensors and Wi-Fi on SmartphonesSensors10.3390/s15122985015:12(31244-31267)Online publication date: 11-Dec-2015
https://doi.org/10.3390/s151229850
Miyazaki KWada RMochizuki MMurao KNishio NMase KLangheinrich MGatica-Perez DGellersen HChoudhury TYatani K(2015)Evaluation of cross-assistive approach for PDR and Wi-Fi positioning in the real environmentAdjunct Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2015 ACM International Symposium on Wearable Computers10.1145/2800835.2801614(1433-1441)Online publication date: 7-Sep-2015
https://dl.acm.org/doi/10.1145/2800835.2801614

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Evaluation of cross-assistive approach for PDR and Wi-Fi positioning in the real environment

Research on Indoor Positioning Based on Fusion of WI-FI/PDR

Hybrid Indoor Positioning with Wi-Fi and Bluetooth: Architecture and Performance