Selection and Ordering of Points-of-Interest in Large-Scale Indoor Navigation Systems

Mobile location-based services (MLBS) are attracting attention for their potential public and personal use for a variety of applications such as location-based advertisement, smart shopping, smart cities, health applications, emergency response, and even gaming. Many of these applications rely on Inertial Navigation Systems (INS) due to the degraded GNSS services indoors. INS-based MLBS using smartphones is hindered by the quality of the MEMS sensors provided in smartphones which suffer from high noise and errors resulting in high drift in the navigation solution rapidly. Pedestrian dead reckoning (PDR) is an INS-based navigation technique that exploits human motion to reduce navigation solution errors, but the errors cannot be eliminated without aid from other techniques. The purpose of this study is to enhance and extend the short-term reliability of PDR systems for smartphones as a standalone system through an enhanced step detection algorithm, a periodic attitude correction technique, and a novel PCA-based motion direction estimation technique. Testing shows that the developed system (S-PDR) provides a reliable short-term navigation solution with a final positioning error that is up to 6 m after 3 min runtime. These results were compared to a PDR solution using an Xsens IMU which is known to be a high grade MEMS IMU and was found to be worse than S-PDR. The findings show that S-PDR can be used to aid GNSS in challenging environments and can be a viable option for short-term indoor navigation until aiding is provided by alternative means. Furthermore, the extended reliable solution of S-PDR can help reduce the operational complexity of aiding navigation systems such as RF-based indoor navigation and magnetic map matching as it reduces the frequency by which these aiding techniques are required and applied.

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Using a game engine to visualize the Main Building of the Warsaw University of Technology in a mobile application

Polish Cartographical Review ◽

10.2478/pcr-2020-0006 ◽

2020 ◽

Vol 52 (2) ◽

pp. 61-73

Author(s):

Jacek Bernard Marciniak ◽

Hubert Janicki

Keyword(s):

Mobile Application ◽

3D Model ◽

Indoor Navigation ◽

Navigation Systems ◽

Two Dimensional ◽

Game Engine ◽

Main Building ◽

Model Based ◽

University Of Technology ◽

Source Data

AbstractThe aim of the study presented in this article is to identify and analyse the problems which arise when creating a 3D model based on two-dimensional data and its import into a game engine and then developing algorithms to automate this process. The authors decided that they would use the Unity game engine to create an application presenting the results of modelling the interior of the Main Building of the Warsaw University of Technology. The work was divided into stages in which problems related to the adopted method were identified and the automation of selected activities was suggested. The main tasks performed during the study included processing the source data into a 3D model along with the correction of errors made during this process, detailing the model by adding characteristic elements of the building’s interior, and creating the so-called game scene in the Unity game engine along with the implementation of the application’s behaviour. The developed software can be integrated with indoor navigation systems, and the implemented scripts can be used during the preparation of other models.

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Indoor navigation systems based on data mining techniques in internet of things: a survey

Wireless Networks ◽

10.1007/s11276-018-1766-4 ◽

2018 ◽

Vol 25 (3) ◽

pp. 1385-1402 ◽

Cited By ~ 11

Author(s):

Mahbubeh Sattarian ◽

Javad Rezazadeh ◽

Reza Farahbakhsh ◽

Alireza Bagheri

Keyword(s):

Data Mining ◽

Internet Of Things ◽

Indoor Navigation ◽

Navigation Systems ◽

Data Mining Techniques

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Audio Guide for Visually Impaired People Based on Combination of Stereo Vision and Musical Tones

Sensors ◽

10.3390/s20010151 ◽

2019 ◽

Vol 20 (1) ◽

pp. 151 ◽

Cited By ~ 1

Author(s):

Walter C. S. S. Simões ◽

Yuri M. L. R. Silva ◽

José Luiz de S. Pio ◽

Nasser Jazdi ◽

Vicente F. de Lucena

Keyword(s):

Stereo Vision ◽

Dead Reckoning ◽

Ground Level ◽

Indoor Navigation ◽

Linear Filter ◽

Navigation Systems ◽

Delivery Time ◽

Visually Impaired People ◽

Margin Of Error ◽

Pedestrian Dead Reckoning

Indoor navigation systems offer many application possibilities for people who need information about the scenery and the possible fixed and mobile obstacles placed along the paths. In these systems, the main factors considered for their construction and evaluation are the level of accuracy and the delivery time of the information. However, it is necessary to notice obstacles placed above the user’s waistline to avoid accidents and collisions. In this paper, different methodologies are associated to define a hybrid navigation model called iterative pedestrian dead reckoning (i-PDR). i-PDR combines the PDR algorithm with a Kalman linear filter to correct the location, reducing the system’s margin of error iteratively. Obstacle perception was addressed through the use of stereo vision combined with a musical sounding scheme and spoken instructions that covered an angle of 120 degrees in front of the user. The results obtained in the margin of error and the maximum processing time are 0.70 m and 0.09 s, respectively, with obstacles at ground level and suspended with an accuracy equivalent to 90%.

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Improvement of Reception and Transmission Performance on Early Warning System for Multi Country with QZSS Augmentation Signal

Journal of Disaster Research ◽

10.20965/jdr.2015.p0373 ◽

2015 ◽

Vol 10 (2) ◽

pp. 373-385

Author(s):

Daisuke Iwaizumi ◽

◽

Shota Iino ◽

Hiroki Satoh ◽

Mitsuaki Takaishi ◽

...

Keyword(s):

Large Scale ◽

Warning System ◽

Satellite Orbits ◽

Navigation Systems ◽

Common Information ◽

Information Infrastructures ◽

Disaster Information ◽

Gnss Receivers ◽

System Prototype ◽

System Effectiveness

Information blackout may occur in which it becomes difficult to obtain required information because information infrastructures have been destroyed. Infrastructures for providing disaster information are vulnerable in some Asian regions, so it is vital to cover such blanks to minimize damage. Much attention has been given to a method for communicating disaster information to GNSS receivers installed on cell phones and in car navigation systems. Augmentation of signals from quasi-zenith satellite (QZS) are used independent of terrestrial information infrastructures. Information capacity using QZS augmentation signals is low, however, and elevation angles in some Asian countries varies due to satellite orbits, meaning that the methods of the distribution and reception performance of disaster information should be investigated. This study has the objective of formulating a system for distributing disaster information using augmentation signals from QZS, the system prototype. This prototype was designed for large-scale disasters across multiple Asian and Oceanic regions such as Indian Ocean tsunamis. The system’s effectiveness is evaluated in distribution and receiving performance, so the designed message formats and resulting distribution schedule show system effectiveness in of distribution performance. In simultaneous receiving experiments in two countries, common information and area- and country-based information were received, indicating the effectiveness of the system in receiving performance across multiple countries.

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