Probabilistic Modeling for Sensor Fusion with Inertial Measurements.
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
Linköping :
Linkopings Universitet,
2016.
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| Edition: | 1st ed. |
| Series: | Linköping Studies in Science and Technology. Dissertations Series
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| Subjects: | |
| Online Access: | Click to View |
Table of Contents:
- 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.