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Proceedings Paper

Pedestrian dead reckoning using a novel sensor module that interfaces with modern smart devices
Author(s): Philip J. Stimac; Richard W. Demar; Gregory F. S. Hewitt; Mark J. McKenna; Eric M. Jordan; Matthew Fordham; John W. Haas
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Paper Abstract

Tracking individuals in areas such as dense urban environments and building interiors is desirable for numerous critical applications, but has been problematic mainly because of the unreliability or unavailability of GPS in many locations of interest. To date, tracking applications that utilize inertial sensors within smart devices have had varied degrees of success: accuracy typically dips below that of standard GPS within minutes and depends strongly on the quality of the sensors in the device, as well as the location that the device is carried on the body. In this paper we present a sensor module that interfaces with modern smart devices and which utilizes a low-cost, commercial-off-the-shelf, 9-axis IMU and pressure sensor to provide an advanced pedestrian dead reckoning solution. The sensor module is designed to communicate with the smart device (e.g., iOS, Android or Windows) via the audio jack and is intended for use as a beltmounted pedestrian tracker. In addition to describing the device hardware and functionality, we present our approach to processing the sensor module data streams to determine a user’s position. Results using the prototype sensor module in operationally relevant scenarios is presented and discussed.

Paper Details

Date Published: 21 May 2015
PDF: 7 pages
Proc. SPIE 9473, Geospatial Informatics, Fusion, and Motion Video Analytics V, 947309 (21 May 2015); doi: 10.1117/12.2176978
Show Author Affiliations
Philip J. Stimac, Applied Research Associates, Inc. (United States)
Richard W. Demar, Applied Research Associates, Inc. (United States)
Gregory F. S. Hewitt, Applied Research Associates, Inc. (United States)
Mark J. McKenna, Applied Research Associates, Inc. (United States)
Eric M. Jordan, Applied Research Associates, Inc. (United States)
Matthew Fordham, Applied Research Associates, Inc. (United States)
John W. Haas, Applied Research Associates, Inc. (United States)


Published in SPIE Proceedings Vol. 9473:
Geospatial Informatics, Fusion, and Motion Video Analytics V
Matthew F. Pellechia; Kannappan Palaniappan; Peter J. Doucette; Shiloh L. Dockstader; Gunasekaran Seetharaman; Paul B. Deignan, Editor(s)

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