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A method for post-mission velocity and orientation estimation based on data fusion from MEMS-IMU and GNSS

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Details

Original languageEnglish
Title of host publicationMultisensor Fusion and Information Integration for Intelligent Systems (MFI), 2017 International Conference on
PublisherIEEE
Pages576-580
Number of pages5
ISBN (Electronic)978-1-5090-6064-1
DOIs
Publication statusPublished - 11 Dec 2017
Publication typeA4 Article in a conference publication
EventIEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems -
Duration: 1 Jan 2000 → …

Conference

ConferenceIEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems
Period1/01/00 → …

Abstract

INS and GNSS integrated systems have become widespread as a result of low-cost MEMS inertial sensor technology. However, the accuracy of computed velocity and orientation is not sufficient for some applications, e.g. performance and technique monitoring and evaluation in sports. Significant accuracy improvements can be made by post-mission data processing. The approach is based on fixed-lag Rauch-Tung- Striebel smoothing algorithm and provides a simple and effective solution to misalignment correction. The potential velocity accuracy is about 0.02 m/s and pitch/roll accuracy is about 0.02 deg. This algorithm was tested for walking and running. The proposed approach could also be used for accurate velocity and orientation estimation in other applications including different sports, e.g. rowing, paddling, cross-country and downhill skiing, ski jump etc.

Publication forum classification

Field of science, Statistics Finland

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