3D Image-based Navigation in Collaborative Navigation Environment

Andrew Zaydak, Charles K. Toth, Dorota A. Grejner-Brzezinska, Bence Molnar, Yudan Yi and J.N. Markiel

Abstract: This paper provides an update on the continuing research effort focused on creating a collaborative navigation solution of various multi-sensory platforms for indoor, outdoor, and transitional environments. The emphasis of this paper is to investigate the usefulness of 3D imagery, taken from optical or laser sensors, in aiding indoor cooperative navigation of multi-sensory pedestrian platforms. Data characterization is provided and performance of the Microsoft Kinectâ„¢ sensor is evaluated. In addition, indoor navigation test results using 3D image-based navigation and the potential of the Kinect for identification and ranging between platforms are discussed.
Published in: Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012)
September 17 - 21, 2012
Nashville Convention Center, Nashville, Tennessee
Nashville, TN
Pages: 2462 - 2468
Cite this article: Zaydak, Andrew, Toth, Charles K., Grejner-Brzezinska, Dorota A., Molnar, Bence, Yi, Yudan, Markiel, J.N., "3D Image-based Navigation in Collaborative Navigation Environment," Proceedings of the 25th International Technical Meeting of the Satellite Division of The Institute of Navigation (ION GNSS 2012), Nashville, TN, September 2012, pp. 2462-2468.
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