Next Article in Journal
Advances in Target Detection and Tracking in Forward-Looking InfraRed (FLIR) Imagery
Next Article in Special Issue
Robust Object Segmentation Using a Multi-Layer Laser Scanner
Previous Article in Journal
Development of a Portable 3CCD Camera System for Multispectral Imaging of Biological Samples
Previous Article in Special Issue
Videosensor for the Detection of Unsafe Driving Behavior in the Proximity of Black Spots
Article Menu

Export Article

Open AccessArticle
Sensors 2014, 14(11), 20274-20296; doi:10.3390/s141120274

A Modular Localization System as a Positioning Service for Road Transport

Department of Telecommunications and Multimedia, Faculty of Electrical Engineering, University of Zilina, Univerzitna 1, Zilina 010 26, Slovakia
*
Author to whom correspondence should be addressed.
Received: 11 September 2014 / Revised: 6 October 2014 / Accepted: 14 October 2014 / Published: 28 October 2014
(This article belongs to the Special Issue Positioning and Tracking Sensors and Technologies in Road Transport)
View Full-Text   |   Download PDF [2792 KB, uploaded 28 October 2014]   |  

Abstract

In recent times smart devices have attracted a large number of users. Since many of these devices allow position estimation using Global Navigation Satellite Systems (GNSS) signals, a large number of location-based applications and services have emerged, especially in transport systems. However GNSS signals are affected by the environment and are not always present, especially in dense urban environment or indoors. In this work firstly a Modular Localization Algorithm is proposed to allow seamless switching between different positioning modules. This helps us develop a positioning system that is able to provide position estimates in both indoor and outdoor environments without any user interaction. Since the proposed system can run as a service on any smart device, it could allow users to navigate not only in outdoor environments, but also indoors, e.g., underground garages, tunnels etc. Secondly we present the proposal of a 2-phase map reduction algorithm which allows one to significantly reduce the complexity of position estimation processes in case that positioning is performed using a fingerprinting framework. The proposed 2-phase map reduction algorithm can also improve the accuracy of the position estimates by filtering out reference points that are far from the mobile device. Both algorithms were implemented into a positioning system and tested in real world conditions in both indoor and outdoor environments. View Full-Text
Keywords: localization; modular localization system; indoor positioning; hybrid positioning; seamless positioning localization; modular localization system; indoor positioning; hybrid positioning; seamless positioning
Figures

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

Brida, P.; Machaj, J.; Benikovsky, J. A Modular Localization System as a Positioning Service for Road Transport. Sensors 2014, 14, 20274-20296.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top