WAY: Seamless Positioning Using a Smart Device
Authors: 
Alfonso Bahillo, Teodoro Aguilera, Fernando J. Álvarez, Asier PerallosAuthors Info & Claims
Pages 2949 - 2967
Abstract
Smart devices are attractive platforms for researchers to collect data coming from several sensors due to their small size, low cost, and the fact that they are already carried routinely by most people. The capability of smart devices to be used as the target of a positioning system has been already demonstrated in previous works. However, most of them rely on a single technology, or they are specific to the environment or user. In this paper we tackle these constraints by presenting a novel seamless positioning system which fuses the sensors information provided by a portable smart device to perform real time location without interruption and independently of the environment the user is moving. We have tested the system with a commercial smart device in an uncalibrated three floor building and its surroundings fusing the GNSS, WiFi and barometer as frequently used sensors, and the microphone and the proximity contactless technologies as occasionally used sensors. The obtained positioning accuracy mainly depends on the indoor path-loss awareness and on the markers density, showing that without using markers but dynamically estimating the path-loss exponents we obtain an error of <2 m for 90 % of cases.
References
[1]
Zandbergen, P. (2009). Accuracy of iPhone locations: A comparison of assisted GPS, Wifi and cellular positioning. Transactions in GIS, 13(s1), 5---25.
[2]
Addlesee, M., Curwen, R., Hodges, S., Newmann, J., Steggles, P., Ward, A., et al. (2001). Implementing a sentient computing system. IEEE Computer, 34(8), 50---56.
[3]
Randell, C., & Muller, H. (2001). Low cost indoor positioning system. In Proceedings of the 3rd international conference on ubiquitous computing (pp. 42---48).
[4]
Hazas, M., & Ward, A. (2002). A novel broadband ultrasonic location system. In Proceedings of the 4th international conference on ubiquitous computing (pp. 264---280).
[5]
Ureñna, J., Hernández, A., Villadangos, J. M., Mazo, M., García, J. C., García, J. J., et al. (2007). Advanced sensorial system for an acoustic LPS. Microprocessors and Microsystems, 31, 393---401.
[6]
González, J. R., & Bleakley, C. J. (2009). High-precision robust broadband ultrasonic location and orientation estimation. IEEE Journal of Selected Topics in Signal Processing,3(5), 832---844.
[7]
Werb, J., & Lanzl, C. (1998). Designing a positioning system for finding things and people indoors. IEEE Spectrum, 35(9), 71---78.
[8]
Mazuelas, S., Bahillo, A., Lorenzo, R. M., Fernández, P., Lago, F., García, E., et al. (2009). Robust indoor positioning provided by real-time RSSI values in unmodified WLAN networks. IEEE Journal of Selected Topics in Signal Processing, 3(5), 821---831.
[9]
Bahillo, A., Mazuelas, S., Lorenzo, R. M., Fernández, P., Prieto, J., Durán, R. J., et al. (2010). Hybrid RSS-RTT localization scheme for indoor wireless networks. EURASIP Journal on Advances in Signal Processing, 2010, 17:1---17:12.
[10]
Tilch, S., & Mautz, R. (2010). Current investigations at the ETH Zurich in optical indoor positioning. In Proceedings of the 7th workshop on positioning navigation and communication (Vol. 7, pp. 174---178).
[11]
Willert, V. (2010). Optical indoor positioning using a camera phone. In Proceedings of the 2010 international conference on indoor positioning and indoor navigation.
[12]
Blankenbach, J., Norrdine, A., & Hellmers, H. (2011). Adaptive signal processing for a magnetic indoor positioning system. In Proceedings of the 2011 international conference on indoor positioning and indoor navigation.
[13]
Chung, J., Donahoe, M., Schmandt, C., Kim, I.-J., Razavai, P., & Wiseman, M. (2011). Indoor location sensing using geo-magnetism. In Proceedings of the 9th international conference on mobile systems, applications and services (MobiSys'11) (pp. 141---154).
[14]
Cheung, K. C., Intille, S. S., & Larson, K. (2006). An inexpensive bluetooth-based indoor positioning hack. In Proceedings of the 8th international conference on ubiquitous computing.
[15]
Subramanian, S. P., Sommer, J., Schmitt, S., & Rosenstiel, W. (2007). SBIL: Scalable indoor localization and navigation service. In Proceedings of the 3rd international conference on wireless communication and sensor networks (pp. 27---30).
[16]
Wendlandt, K., Berhig, M., & Robertson, P. (2005). Indoor localization with probability density functions based on bluetooth. In IEEE 16th International symposium on personal, indoor and mobile radio communications, PIMRC 2005 (Vol. 3, pp. 2040---2044).
[17]
Inoue, Y., Sashima, A., & Kurumatani, K. (2009). Indoor positioning system using beacon devices for practical pedestrian navigation on mobile phone. In UIC 2009, LNCS, (Vol. 5585, pp. 251---265).
[18]
Mandal, A., Lopes, C. V., Givargis, T., Haghighat, A., Jurdak, A., & Baldi, P. (2005). Beep: 3D indoor positioning using audible sound. In Proceedings of the 2nd IEEE consumer communications and networking conference (pp. 348---353).
[19]
Filonenko, V., Cullen, C., & Carswell, J. D. (2013). Indoor positioning for smartphones using asynchronous ultrasound trilateration. ISPRS International Journal of Geo-Information,2(3), 598---620.
[20]
Subbu, K. P., Gozick, B., & Dantu, R. (2013). Locateme: Magnetic-fields-based indoor localization using smartphones. ACM Transactions on Intelligent Systems and Technology (TIST), 4(4), 73:1---73:27.
[21]
Ascher, C., Kessler, C., Wankerl, M., & Trommer, G. (2010). Dual imu indoor navigation with particle filter based map-matching on a smartphone. In 2010 International conference on indoor positioning and indoor navigation (IPIN) (pp. 1---5).
[22]
Pei, L., Chen, R., Chen, Y., Leppakoski, H., & Perttula, A. (2009). Indoor/outdoor seamless positioning technologies integrated on smart phone. In First International Conference on advances in satellite and space communications, 2009. SPACOMM 2009 (pp. 141---145).
[23]
Gallagher, T., Wise, E., Li, B., Dempster, A., Rizos, C., & Ramsey-Stewart, E. (2012). Indoor positioning system based on sensor fusion for the blind and visually impaired. In Proceedings of the 2012 international conference on indoor positioning and indoor navigation (IPIN'12) (pp. 1---9).
[24]
Liu, J., Chen, R., Pei, L., Guinness, R., & Kuusniemi, H. (2012). A hybrid smartphone indoor positioning solution for mobile LBS. Sensors, 12(12), 17208---17233.
[25]
Julier, S., Uhlmann, J. K., & Durrant-Whyte, H. F. (2000). A new method for the nonlinear transformation of means and covariances in filters and estimators. IEEE Transactions on automatic control, 45(3), 477---482. http://dblp.uni-trier.de/db/journals/tac/tac45.html#JulierUD00.
[26]
Steiniger, S., Neun, M., & Alistair, E. (2006). Foundations of location based services. In CartouCHe1-lecture notes on LBS (Vol. 1).
[27]
Fox, D., Hightower, J., Liao, L., Schulz, D., & Borriello, G. (2003). Bayesian filters for location estimation. IEEE Pervasive Computing,2(3), 24---33.
[28]
Wakim, C. F., Capperon, S., & Oksman, J. (2004). A Markovian model of pedestrian behavior. In SMC (4). IEEE (pp. 4028---4033). http://dblp.uni-trier.de/db/conf/smc/smc2004-4.html#WakimCO04.
[29]
Li, X. (2006). Rss-based location estimation with unknown pathloss model. IEEE Transactions on Wireless Communications, 5(12), 3626---3633. http://dblp.uni-trier.de/db/journals/twc/twc5.html#Li06.
[30]
Pahlavan, K., & Levesque, A. H. (1995). Wireless information networks. New York: Wiley.
[31]
Davies, M. (2003). The standard handbook for aeronautical and astronautical engineers. New York: McGraw-Hill.
[32]
Guide to Reference and Standard Atmosphere Models, American National Standard ANSI ed., American Institute of Aeronautics and Astronautics, 2004.
[33]
Csapodi, M., & Nagy, A. (2007). New applications for NFC devices. In Proceedings of the 16th IST on mobile and wireless communications summit (pp. 1---5).
[34]
Borriello, G., Liu, A., Offer, T., Palistrant, C., & Sharp, R. (2005). Walrus: Wireless acoustic location with room-level resolution using ultrasound. In Proceedings of Mobisys 05 (pp. 191---203).
[35]
Kingstate Electronics Corp., Website, (2014). http://www.kingstate.com.tw.
[36]
http://www.gsmarena.com/samsung_galaxy_nexus-review-699p5.php. (2014).
- WAY: Seamless Positioning Using a Smart Device
Recommendations
Fast Indoor Localization of Smart Hand-Held Devices Using Bluetooth
MSN '14: Proceedings of the 2014 10th International Conference on Mobile Ad-hoc and Sensor NetworksIndoor localization remains a hot topic during the last few decades. Previous research mainly relies on wireless fingerprints and thus demands a large number of APs or labor-intensive site survey. To this end, by exploring Bluetooth features and ...
Paving the way with machine learning for seamless indoor–outdoor positioning: A survey
AbstractSeamless positioning and navigation requires an integration of outdoor and indoor positioning systems. Until recently, these systems mostly function in-silos. Though GNSS has become a standalone system for outdoors, no unified positioning ...
Highlights- IO localization methods are presented from pragmatic view of seamless positioning.
- ML techniques are categorized based on their applications in seamless positioning.
- Performance results of ML techniques on benchmark datasets are ...
Design of a Practical WSN Based Fingerprint Localization System
AbstractFingerprint positioning technology is among the most promising choices for seamless localization and is anticipated to be the future of seamless-locating services. The convenience of deployment and the high density signal source of wireless sensor ...
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
Copyright © Copyright © 2017 Springer Science+Business Media New York.
Publisher
Kluwer Academic Publishers
United States
Publication History
Published: 01 June 2017
Author Tags
Qualifiers
- Article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 14 Jan 2025