Knowledge-based Error Detection and Correction Method of a Multi-sensor Multi-network Positioning Platform for Pedestrian Indoor Navigation

Y. Chen, R. Chen, L. Pei, T. Kr̦ger, H. Kuusniemi, J. Liu, W. Chen

Abstract:	For pedestrian indoor navigation, an accurate 2D/3D position is a premise for any further processing. Currently, indoor navigation is a challenging task for standalone GNSS technology. FGI has integrated self-contained sensors with wireless locating technology to investigate a hybrid indoor positioning solution. However, the infrastructure indoors inflicts multiple disturbances to the positioning sensors. A knowledgebased error detection and correction method is applied to detect and eliminate the occurring gross errors. Six modes of user dynamics are extracted from measurements of a barometer and an accelerometer, and such contexts can improve the positioning accuracy and enhance the user experience of the final navigation application.
Published in:	Proceedings of IEEE/ION PLANS 2010 May 4 - 6, 2010 Renaissance Esmeralda Resort & Spa Indian Wells, CA
Pages:	873 - 879
Cite this article:	Chen, Y., Chen, R., Pei, L., Kr̦ger, T., Kuusniemi, H., Liu, J., Chen, W., "Knowledge-based Error Detection and Correction Method of a Multi-sensor Multi-network Positioning Platform for Pedestrian Indoor Navigation," Proceedings of IEEE/ION PLANS 2010, Indian Wells, CA, May 2010, pp. 873-879. https://doi.org/10.1109/PLANS.2010.5507190
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