Probabilistic Modeling for Sensor Fusion with Inertial Measurements.

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Superior document:Linköping Studies in Science and Technology. Dissertations Series ; v.1814
:
Place / Publishing House:Linköping : : Linkopings Universitet,, 2016.
{copy}2016.
Year of Publication:2016
Edition:1st ed.
Language:English
Series:Linköping Studies in Science and Technology. Dissertations Series
Online Access:
Physical Description:1 online resource (71 pages)
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245 1 0 |a Probabilistic Modeling for Sensor Fusion with Inertial Measurements. 
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264 1 |a Linköping :  |b Linkopings Universitet,  |c 2016. 
264 4 |c {copy}2016. 
300 |a 1 online resource (71 pages) 
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490 1 |a Linköping Studies in Science and Technology. Dissertations Series ;  |v v.1814 
505 0 |a Intro -- Abstract -- Populärvetenskaplig sammanfattning -- Acknowledgments -- Contents -- Notation -- I Background -- 1 Introduction -- 1.1 Background -- 1.2 Additional sensors and models -- 1.2.1 Magnetometers -- 1.2.2 Ultrawideband -- 1.2.3 Biomechanical models -- 1.3 Main contributions -- 1.4 Outline -- 2 Probabilistic models -- 2.1 Models for position and orientation estimation -- 2.2 Maps of the magnetic field -- 2.3 Visualizing the resulting model structures -- 3 Inference -- 3.1 Building maps of the magnetic field -- 3.2 Estimating position and orientation -- 3.3 Estimating calibration parameters -- 4 Conclusions and future work -- 4.1 Position and orientation estimation using inertial sensors -- 4.2 Inertial sensor motion capture -- 4.3 Combining UWB with inertial sensors -- 4.4 Magnetometer calibration -- 4.5 Mapping and localization using magnetic fields -- 4.6 Concluding remarks -- Bibliography. 
588 |a Description based on publisher supplied metadata and other sources. 
590 |a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.  
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776 0 8 |i Print version:  |a Kok, Manon  |t Probabilistic Modeling for Sensor Fusion with Inertial Measurements  |d Linköping : Linkopings Universitet,c2016 
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