Indoor Navigation on Google Maps and Indoor Localization Using RSS Fingerprinting

  IJETT-book-cover  International Journal of Engineering Trends and Technology (IJETT)          
© 2014 by IJETT Journal
Volume-11 Number-4                          
Year of Publication : 2014
Authors : Sagar V. Ramani , Yagnik N. Tank


Sagar V. Ramani , Yagnik N. Tank. "Indoor Navigation on Google Maps and Indoor Localization Using RSS Fingerprinting", International Journal of Engineering Trends and Technology (IJETT), V11(4),171-173 May 2014. ISSN:2231-5381. published by seventh sense research group


Contrasting to advances in street/outdoor navigation, wall mounted maps and signs continue to be the primary reference indoor navigation in hospitals, malls, museums, etc. The proliferation of mobile devices and the growing demand for location aware systems that filter information based on currently device location have led to an increase in research and product development in this field. An attempt has been made to provide solution for indoor navigation on Google maps and to provide location of a user in a building using Wi-Fi signal strength on android Smartphone.


[1] Pathanawongthum, N. Cherntanomwong, P. 2009. Empirical evaluation of RFID-based indoor localization with human body effect”, 15th Asia-Pacific Conf. on Communications, 2009, 479-482.
[2] Miyazaki, Y. Kamiya, T., “Pedestrian Navigation System for Mobile Phones Using Panoramic Landscape Images”. In Proc. of SAINT’06, 2006, IEEE Computer Society, 102-108.
[3] Mulloni A, Wagner D, Barakonyi D, Schmalstieg I, “Indoor Positioning and Navigation with Camera Phones”. IEEE Pervasive Computing, 2009, 8(2): 22-31.
[4] Rukzio E, Müller, M, Hardy R, “Design, Implementation and Evaluation of a Novel Public Display for Pedestrian Navigation: The Rotating Compass”.In Proceedings of CHI’09, ACM Press 2006, 113-122.
[5] Ramirez L, Denef S, Dyrks T, “Towards Human-Centered Support for Indoor Navigation”. In Proc. of CHI’09, 2009, 1279-1282.
[6] Hub A., Diepstraten J, Ertl T, “Design and Development of an Indoor Navigation and Object Identification System for the Blind”.In Proc. ASSETS’04, 2004,147-152.
[7] Poovendran R, Wang C, Sumit R, “Secure Localization and Time Synchronization for Wireless Sensor and Ad Hoc Networks”, Springer, 2006.
[8] Brida P, Cepel P, and Duha J, “Geometric Algorithm for Received Signal Strength Based Mobile Positioning, Proc. Of Czech Slovak Technical Universities & URSI”, v. 5, 2005. 176-197
[9] Varshavsky A., Lara E, Hightower J, Lamarca A, Otsason V. 2007, GSM indoor localization, Pervasive and Mobile Computing, 2007, 698- 720.
[10] Li X, 2009. Ratio-based zero-profiling indoor localization, IEEE 6th Int. Conf. MASS, 2009, 40-49.
[11] Hsu C, Yu C. “An Accelerometer based approach for indoor localization”, Symposia and Workshops on UIC`09 and ATC`09 Conferences, 2009, 223-227.

RSS Fingerprinting, Indoor Navigation