Rapid Prototyping of a Mobile Location-Based Tour Guide

2011

First and foremost the author would like to recite his greatest gratitude to the Most Merciful Allah for giving me the opportunity in completing this Final Year Project. High gratitude goes to Mr. Justin Dinesh Devaraj, the Project Supervisor for his gnidance and assistance provided throughout the project. Thank you for being patient, motivating and sharing all the knowledge and experiences in completing this project. Thank you to Mrs. Saadiah Saat for her support and cooperation in this project. To other Universiti Teknologi PETRONAS's lecturers and staffs, thank you for all the teachings and assistance given. Your teachings and efforts will always be remembered. Greatest appreciation goes to the author's parents for the encouragements and invaluable advice in making this project successful. To other family members, thank you for the time and cooperation given. Not forgotten, appreciation goes to all colleagues and friends who had contributed a lot to the success of this project. Thank you for the friendship and full support in completing this research. Last but not least, thank you to those individuals whom their names are not mentioned here. The contributions given in accomplishing this project, whether directly or indirectly are very much appreciated.

Proceedings of the …, 2003

Locata Corporation has invented a new positioning technology called Locata, which is designed to overcome severe limitations in other positioning systems currently available. Part of the "Locata technology" consists of a time-synchronised pseudolite transceiver called a LocataLite. A network of LocataLites forms a LocataNet, which transmits GPS-like signals that allow single-point positioning using carrier-phase measurements for a mobile device (a Locata). The SNAP group at UNSW has assisted in the development of a Locata and testing of the new technology. In this paper, the prototype "Locata technology" is described, and the results of a performance test experiment are presented.

New Approach of Indoor and Outdoor Localization Systems, 2012

embedded.com

2015

2007

There are several problems encountered when trying to determine the location of a mobile phone, including whether you are in an urban or rural environment. Also, it is well known that some positioning technologies work better than others depending on the environment they are in. For example, GPS works well in rural areas but not as well in urban areas, GSM positioning accuracy can be acceptable in urban areas with the right triangulation technology, but is less accurate in rural areas. Positioning with other technologies such as WiFi, Bluetooth, and Semacode all have their own advantages and disadvantages as well, depending on the overall environment in which they are used. One research task of the ICiNG project is to address these issues and introduce the next logical step for freely available mobile positioning, advancing the pioneering work done by Place Lab at Intel. The EU-FP6 ICiNG project component that initiates this advance is called the ILC (ICiNG Location Client). The ILC integrates all the above location finding technologies into one positioning module. This paper outlines the technique we developed to combine these technologies and the architecture used to deploy them on a mobile phone. With all these technologies finally available on one device, it is now possible to employ a personal positioning system that can work effectively in any environment. Another important advantage of the ILC is its ability to do this without any direct communication with outside sources, so users need not worry about "big brother" tracking their every movement. The ILC only "listens" for, and makes use of, radio signals that are freely available in the current environment, and does not actively connect to any external network or other services to triangulate its position.

Computer, 2004

Communications of The ACM, 2005

Sensors

This paper presents a study of positioning system that provides advanced information services based on Wi-Fi and Bluetooth Low Energy (BLE) technologies. It uses Wi-Fi for rough positioning and BLE for fine positioning. It is designed for use in public transportation system stations and terminals where the conditions are "hostile" or unfavourable due to signal noise produced by the continuous movement of passengers and buses, data collection conducted in the constant presence thereof, multipath fading, non-line of sight (NLOS) conditions, the fact that part of the wireless communication infrastructure has already been deployed and positioned in a way that may not be optimal for positioning purposes, variable humidity conditions, etc. The ultimate goal is to provide a service that may be used to assist people with special needs. We present experimental results based on scene analysis; the main distance metric used was the Euclidean distance but the Mahalanobis distance was also used in one case. The algorithm employed to compare fingerprints was the weighted k-nearest neighbor one. For Wi-Fi, with only three visible access points, accuracy ranged from 3.94 to 4.82 m, and precision from 5.21 to 7.0 m 90% of the time. With respect to BLE, with a low beacon density (1 beacon per 45.7 m 2), accuracy ranged from 1.47 to 2.15 m, and precision from 1.81 to 3.58 m 90% of the time. Taking into account the fact that this system is designed to work in real situations in a scenario with high environmental fluctuations, and comparing the results with others obtained in laboratory scenarios, our results are promising and demonstrate that the system would be able to position users with these reasonable values of accuracy and precision.