Smart phone orientation estimation comparisons using three axis gimbal

Kevin G. Gaquin; MaryAnne Fields

doi:10.1117/12.2228552

13 May 2016 Smart phone orientation estimation comparisons using three axis gimbal

Kevin G. Gaquin, MaryAnne Fields

Author Affiliations +

Proceedings Volume 9841, Geospatial Informatics, Fusion, and Motion Video Analytics VI; 984109 (2016) https://doi.org/10.1117/12.2228552
Event: SPIE Defense + Security, 2016, Baltimore, Maryland, United States

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.

Citation Download Citation

Kevin G. Gaquin, Kevin G. Gaquin, MaryAnne Fields, MaryAnne Fields, } "Smart phone orientation estimation comparisons using three axis gimbal", Proc. SPIE 9841, Geospatial Informatics, Fusion, and Motion Video Analytics VI, 984109 (13 May 2016); doi: 10.1117/12.2228552; https://doi.org/10.1117/12.2228552

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