Localization, Route Planning, and Smartphone Interface for Indoor Navigation

  • Balajee Kannan
  • Nisarg Kothari
  • Chet Gnegy
  • Hend Gedaway
  • M. Freddie Dias
  • M. Bernardine Dias
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 507)

Abstract

Low-cost navigation solutions for indoor environments have a variety of real-world applications ranging from emergency evacuation to mobility aids for people with disabilities. Primary challenges for commercial indoor navigation solutions include robust localization in the absence of GPS, efficient route-planning and re-planning techniques, and effective user interfaces for resource-constrained platforms like smartphones and mobile phones. In this chapter, we present an architecture for indoor navigation using an Android smartphone that integrates three core components of localization, map-representation, and user interface towards a robust and effective solution for guiding a variety of users, from sighted to the visually impaired to their intended destination. Specifically, we developed a navigation solution that combines complementary localization algorithms [10] of dead reckoning (DR) and WiFi signal strength fingerprinting (SSI) with enhanced route-planning algorithms to account for the sensory and mobility constraints of the user to efficiently plan safe routes and communicate the route information with sufficient resolution to address the needs of the users. To evaluate the feasibility of our solution, we develop a prototype application on a commercial smartphone and tested it in multiple indoor environments. The results show that the system was able to accurately estimate user location to within 5 m and subsequently provide effective navigation guidance to the user.

Keywords

SSI-based localization Path-planning Assistive technology User interface 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Balajee Kannan
    • 1
  • Nisarg Kothari
    • 2
  • Chet Gnegy
    • 3
  • Hend Gedaway
    • 4
  • M. Freddie Dias
    • 4
  • M. Bernardine Dias
    • 4
  1. 1.GE Global ResearchNiskayunaUSA
  2. 2.Google IncMountain ViewUSA
  3. 3.University of PittsburghPittsburghUSA
  4. 4.Carnegie Mellon UniversityPittsburghUSA

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