Next Article in Journal
Analysis of the Spatial Variation of Network-Constrained Phenomena Represented by a Link Attribute Using a Hierarchical Bayesian Model
Next Article in Special Issue
Estimation of 3D Indoor Models with Constraint Propagation and Stochastic Reasoning in the Absence of Indoor Measurements
Previous Article in Journal
Discover Patterns and Mobility of Twitter Users—A Study of Four US College Cities
Previous Article in Special Issue
Indoor Multi-Dimensional Location GML and Its Application for Ubiquitous Indoor Location Services
Article Menu
Issue 2 (February) cover image

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2017, 6(2), 43; doi:10.3390/ijgi6020043

The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment

Department of Geomatics, National Cheng-Kung University, 1 University Road, Tainan 701, Taiwan
*
Author to whom correspondence should be addressed.
Academic Editors: Sisi Zlatanova, Kourosh Khoshelham, George Sithole and Wolfgang Kainz
Received: 21 December 2016 / Revised: 26 January 2017 / Accepted: 26 January 2017 / Published: 14 February 2017
(This article belongs to the Special Issue 3D Indoor Modelling and Navigation)
View Full-Text   |   Download PDF [7628 KB, uploaded 14 February 2017]   |  

Abstract

Smartphones have become indispensable in our daily lives. Their various embedded sensors have inspired innovations in mobile applications—especially for indoor navigation. However, the accuracy, reliability and generalizability of navigation all continue to struggle in environments lacking a Global Navigation Satellite System (GNSS). Pedestrian Dead Reckoning (PDR) is a popular method for indoor pedestrian navigation. Unfortunately, due to its fundamental principles, even a small navigation error will amplify itself, step by step, generally leading to the need for supplementary resources to maintain navigation accuracy. Virtually all mobile devices and most robots contain a basic camera sensor, which has led to the popularity of image-based localization, and vice versa. However, all of the image-based localization requires continuous images for uninterrupted positioning. Furthermore, the solutions provided by either image-based localization or a PDR are usually in a relative coordinate system. Therefore, this research proposes a system, which uses space resection-aided PDR with geo-referenced images of a previously mapped environment to enable seamless navigation and solve the shortcomings of PDR and image-based localization, and evaluates the performance of space resection with different assumptions using a smartphone. The indoor mobile mapping system (IMMS) is used for the effective production of geo-referenced images. The preliminary results indicate that the proposed algorithm is suitable for universal pedestrian indoor navigation, achieving the accuracy required for commercial applications. View Full-Text
Keywords: pedestrian dead reckoning; space resection; smartphone; camera; indoor navigation pedestrian dead reckoning; space resection; smartphone; camera; indoor navigation
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Chiang, K.-W.; Liao, J.-K.; Huang, S.-H.; Chang, H.-W.; Chu, C.-H. The Performance Analysis of Space Resection-Aided Pedestrian Dead Reckoning for Smartphone Navigation in a Mapped Indoor Environment. ISPRS Int. J. Geo-Inf. 2017, 6, 43.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top