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Proceedings Paper

Smart phone orientation estimation comparisons using three axis gimbal
Author(s): Kevin G. Gaquin; MaryAnne Fields
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Paper Abstract

Smartphones have put powerful sensor arrays in nearly everyone’s pockets. Fusing the data from these sensors it is possible to estimate the phone’s current orientation. In this study we utilize a 3 axis gimbal to compare the performance of multiple orientation estimation algorithms. Controlling the position of the gimbal allows us to compare the known device orientation to the estimated orientation. Using this same method we determine where each algorithm’s faults lie, and where they begin to break down. Then repeating these movements we are able to compare each algorithm to each other.

Paper Details

Date Published: 13 May 2016
PDF: 11 pages
Proc. SPIE 9841, Geospatial Informatics, Fusion, and Motion Video Analytics VI, 984109 (13 May 2016); doi: 10.1117/12.2228552
Show Author Affiliations
Kevin G. Gaquin, Engility Corp. (United States)
MaryAnne Fields, U.S. Army Research Lab. (United States)

Published in SPIE Proceedings Vol. 9841:
Geospatial Informatics, Fusion, and Motion Video Analytics VI
Matthew F. Pellechia; Kannappan Palaniappan; Peter J. Doucette; Shiloh L. Dockstader; Gunasekaran Seetharaman; Paul B. Deignan, Editor(s)

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