Infrastructure-free indoor navigation: a case study

References

• AzizyanM., I.Constandache, and R.Roy Choudhury. 2009. “SurroundSense: Mobile Phone Localization via Ambience Fingerprinting.” In Proceedings of the 15th Annual International Conference on Mobile Computing and Networking, ACM, September, 261–272.
   Google Scholar
• BilkeA., and J.Sieck. 2013. “Using the Magnetic Field for Indoor Localisation on a Mobile Phone.” In Progress in Location-Based Services: Lecture Notes in Geoinformation and Cartography, edited by J. M.Krisp, 195–208. Heidelberg: Springer.
   Google Scholar
• ChangY. J., S. K.Tsai, T. YWang, and L. D.Chou. 2007. “A Novel Wayfinding System Based on Geo-Coded QR Codes for Individuals with Cognitive Impairments.” In Proceedings of the 9th International ACM SIGACCESS Conference on Computers and Accessibility, Arizona, USA, 231–232.
   Google Scholar
• ChungJ., M.Donahoe, C.Schmandt, I. J.Kim, P.Razavai, and M.Wiseman. 2011. “Indoor Location Sensing Using Geo-magnetism.” In Proceedings of the 9th International Conference on Mobile Systems, Applications, and Services, June, ACM, 141–154.
   Google Scholar
• Costa-MontenegroE., F. J.González-Castaño, D.Conde-Lagoa, A. B.Barragáns-Martínez, P. S.Rodríguez-Hernández, and F.Gil-Castiñeira. 2011. “QR-Maps: An Efficient Tool for Indoor User Location Based on QR-Codes and Google Maps.” In Consumer Communications and Networking Conference (CCNC), 2011 IEEE, IEEE, 928–932.
   Google Scholar
• CurranK., E.Furey, T.Lunney, J.Santos, D.Woods, and A.McCaughey. 2011. “An Evaluation of Indoor Location Determination Technologies.” Journal of Location Based Services5 (2): 61–78.
   Google Scholar
• DijkstraE. W.1959. “A Note on Two Problems in Connexion with Graphs.” Numerische mathematik1 (1): 269–271.
   Google Scholar
• GozickB., K. P.Subbu, R.Dantu, and T.Maeshiro. 2011. “Magnetic Maps for Indoor Navigation.” IEEE Transactions on Instrumentation and Measurement60 (12): 3883–3891.
   Web of Science ®Google Scholar
• HaverinenJ., and A.Kemppainen. 2009. “Global Indoor Self-Localization Based on the Ambient Magnetic Field.” Robotics and Autonomous Systems57 (10): 1028–1035.
   Web of Science ®Google Scholar
• HileH., and G.Borriello. 2008. “Positioning and Orientation in Indoor Environments Using Camera Phones.” IEEE Computer Graphics and Applications28 (4): 32–39.
   Google Scholar
• HuangJoseph, D.Millman, M.Quigley, D.Stavens, S.Thrun, and A.Aggarwal. 2011. “Efficient, Generalized Indoor Wifi Graphslam.” In Proceedings of the Robotics and Automation (ICRA), 2011 IEEE International Conference on, IEEE, 1038–1043.
   Google Scholar
• IvanovR.2010. “Indoor Navigation System for Visually Impaired.” In Proceedings of the 11th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing on International Conference on Computer Systems and Technologies, ACM, 143–149.
   Google Scholar
• KothariN., B.Kannan, E. D.Glasgwow, and M. B.Dias. 2012. “Robust Indoor Localization on a Commercial Smart Phone.” Procedia Computer Science10: 1114–1120.
   Google Scholar
• LadettoQuentin, VincentGabaglio, and BertrandMerminod. 2001. “Combining Gyroscopes, Magnetic Compass and GPS for Pedestrian Navigation.” In Proceedings of the International Symposium on Kinematic Systems in Geodesy, Geomatics, and Navigation, Banff, Canada, June 5–8.
   Google Scholar
• LaugwitzB., T.Held, and M.Schrepp. 2008. “Construction and Evaluation of a User Experience Questionnaire.” In HCI and Usability for Education and Work, edited by A.Holzinger, 63–76. Heidelberg: Springer.
   Google Scholar
• LewisC. H.1982. “Using the ‘Thinking Aloud’ Method In Cognitive Interface Design.” (Technical Report) IBM. RC-9265.
   Google Scholar
• López-De-IpiñaD., T.Lorido, and U.López. 2011. “Indoor Navigation And Product Recognition For blind people assisted shopping.” In Ambient Assisted Living, edited by JoséBravo, RamónHervás, and VladimirVillarreal, 33–40. Heidelberg: Springer.
   Google Scholar
• MarottoV., M.Sole, T.Dessì, A.Manchinu, D.Carboni, and A.Serra. 2013. “Orientation Analysis through a Gyroscope Sensor for Indoor Navigation Systems.” In SENSORDEVICES 2013, The Fourth International Conference on Sensor Device Technologies and Applications, Barcelona, Spain, August 25–31, 85–90.
   Google Scholar
• MulloniA., D.Wagner, I.Barakonyi, and D.Schmalstieg. 2009. “Indoor Positioning and Navigation with Camera Phones.” IEEE Pervasive Computing8 (2): 22–31.
   Web of Science ®Google Scholar
• OzdenizciB., K.Ok, V.Coskun, and M. N.Aydin. 2011. “Development of an Indoor Navigation System Using NFC Technology.” In Proceedings of the ICIC 2011. Fourth International Conference on Information and Computing, Phuket, Thailand, August 11–14.
   Google Scholar
• PanyovA. A., A. A.Golovan, and A. S.Smirnov. 2014. “Indoor Positioning Using Wi-Fi Fingerprinting Pedestrian Dead Reckoning and Aided INS.” In Proceedings of the Inertial Sensors and Systems (ISISS), 2014 International Symposium, IEEE, Laguna Beach, CA, February 25–26.
   Google Scholar
• QR-Codes. 2005. ISO/IEC 18004:2006 Information Technology Automatic Identification and Data Capture Techniques-QR-Code 2005 Bar Code Symbology Specification.
   Google Scholar
• Ruiz-RuizA. J., O.Canovas, R. A. R.Munoz, and P. E. L. D. T.Alcolea. 2012. “Using SIFT and WiFi Signals to Provide Location-based Services for Smartphones.” In Mobile and Ubiquitous Systems: Computing, Networking, and Services, edited by A.Puiatti and T.Gu, 37–48. Heidelberg: Springer.
   Google Scholar
• SerraA., D.Carboni, and V.Marotto. 2010. “Indoor Pedestrian Navigation System Using a Modern Smartphone.” In Proceedings of the 12th International Conference on Human Computer Interaction with Mobile Devices and Services, Lisboa, Portugal, September 7–10. ACM.
   Google Scholar
• Tarzia, S. P.2011. “Acoustic Sensing of Location and User Presence on Mobile Computers.” PhD diss., Department of Electrical Engineering and Computer Science, Northwestern University, Evanston, IL, USA.
   Google Scholar
• Wei, T., and S. Bell. 2011. “Indoor localization method comparison: Fingerprinting and Trilateration Algorithm.” University of Saskatchewan. Accessed March 24, 2015. http://rose.geog.mcgill.ca/ski/system/files/fm/2011/Wei.pdf.
   Google Scholar
• ZancaG., F.Zorzi, A.Zanella, and M.Zorzi. 2008. “Experimental Comparison of RSSI-Based Localization Algorithms for Indoor Wireless Sensor Networks.” In Proceedings of the Workshop on Real-World Wireless Sensor Networks, ACM, Glasgow, UK, April 1–5.
   Google Scholar
• ZandbergenPaul A.2012. “‘Comparison of WiFi Positioning on Two Mobile Devices.’.” Journal of Location Based Services6 (1): 35–50.
   Google Scholar
• ZhangK., M.Zhu, G.Retscher, F.Wu, and W.Cartwright. 2009. “Three-Dimension Indoor Positioning Algorithms Using an Integrated RFID/INS System in Multi-Storey Buildings.” In Location Based Services and TeleCartography II, edited by Gartner and Rehrl, 373–386. Heidelberg: Springer.
   Google Scholar