WAY: Seamless Positioning Using a Smart Device

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.

[1]  M. Csapodi,et al.  New Applications for NFC Devices , 2007, 2007 16th IST Mobile and Wireless Communications Summit.

[2]  Dieter Fox,et al.  Bayesian Filtering for Location Estimation , 2003, IEEE Pervasive Comput..

[3]  Ram Dantu,et al.  LocateMe , 2013, ACM Trans. Intell. Syst. Technol..

[4]  Abdelmoumen Norrdine,et al.  Adaptive Signal Processing for a Magnetic Indoor Positioning System , 2011 .

[5]  Koichi Kurumatani,et al.  Indoor Positioning System Using Beacon Devices for Practical Pedestrian Navigation on Mobile Phone , 2009, UIC.

[6]  Gaetano Borriello,et al.  WALRUS: wireless acoustic location with room-level resolution using ultrasound , 2005, MobiSys '05.

[7]  Ling Pei,et al.  Indoor/Outdoor Seamless Positioning Technologies Integrated on Smart Phone , 2009, 2009 First International Conference on Advances in Satellite and Space Communications.

[8]  Andy Hopper,et al.  Implementing a Sentient Computing System , 2001, Computer.

[9]  Andrew G. Dempster,et al.  Indoor positioning system based on sensor fusion for the Blind and Visually Impaired , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[10]  Christophe F. Wakim,et al.  A Markovian model of pedestrian behavior , 2004, 2004 IEEE International Conference on Systems, Man and Cybernetics (IEEE Cat. No.04CH37583).

[11]  Hugh F. Durrant-Whyte,et al.  A new method for the nonlinear transformation of means and covariances in filters and estimators , 2000, IEEE Trans. Autom. Control..

[12]  A. Haghighat,et al.  Beep: 3D indoor positioning using audible sound , 2005, Second IEEE Consumer Communications and Networking Conference, 2005. CCNC. 2005.

[13]  Dirk Schulz,et al.  Bayesian Filters for Location Estimation , 2003 .

[14]  Xinrong Li,et al.  RSS-Based Location Estimation with Unknown Pathloss Model , 2006, IEEE Transactions on Wireless Communications.

[15]  Charlie Cullen,et al.  Indoor Positioning for Smartphones Using Asynchronous Ultrasound Trilateration , 2013, ISPRS Int. J. Geo Inf..

[16]  Kaveh Pahlavan,et al.  Wireless Information Networks , 1995 .

[17]  Ruizhi Chen,et al.  A Hybrid Smartphone Indoor Positioning Solution for Mobile LBS , 2012, Sensors.

[18]  Santiago Mazuelas,et al.  Hybrid RSS-RTT Localization Scheme for Indoor Wireless Networks , 2010, EURASIP J. Adv. Signal Process..

[19]  W. Rosenstiel,et al.  SBIL: Scalable Indoor Localization and Navigation Service , 2007, 2007 Third International Conference on Wireless Communication and Sensor Networks.

[20]  Paul A. Zandbergen,et al.  Accuracy of iPhone Locations: A Comparison of Assisted GPS, WiFi and Cellular Positioning , 2009 .

[21]  Santiago Mazuelas,et al.  Robust Indoor Positioning Provided by Real-Time RSSI Values in Unmodified WLAN Networks , 2009, IEEE Journal of Selected Topics in Signal Processing.

[22]  Mark Davies,et al.  Standard Handbook for Aeronautical and Astronautical Engineers , 2002 .

[23]  Juan R. Gonzalez,et al.  High-Precision Robust Broadband Ultrasonic Location and Orientation Estimation , 2009, IEEE Journal of Selected Topics in Signal Processing.

[24]  C. Ascher,et al.  Dual IMU Indoor Navigation with particle filter based map-matching on a smartphone , 2010, 2010 International Conference on Indoor Positioning and Indoor Navigation.

[25]  Volker Willert,et al.  Accuracy Evaluation for Automated Optical Indoor Positioning Using a Camera Phone , 2012 .

[26]  Sebastian Tilch,et al.  Current investigations at the ETH Zurich in optical indoor positioning , 2010, 2010 7th Workshop on Positioning, Navigation and Communication.

[27]  Henk L. Muller,et al.  Low Cost Indoor Positioning System , 2001, UbiComp.

[28]  Álvaro Hernández,et al.  Advanced sensorial system for an acoustic LPS , 2007, Microprocess. Microsystems.

[29]  J. Werb,et al.  Designing a positioning system for finding things and people indoors , 1998 .

[30]  Patrick Robertson,et al.  Indoor localization with probability density functions based on Bluetooth , 2005, 2005 IEEE 16th International Symposium on Personal, Indoor and Mobile Radio Communications.

[31]  Mike Hazas,et al.  A Novel Broadband Ultrasonic Location System , 2002, UbiComp.

[32]  Ig-Jae Kim,et al.  Indoor location sensing using geo-magnetism , 2011, MobiSys '11.