Chai, Wennan: Multi-sensor based indoor vehicle and pedestrian navigation. 2019
Inhalt
- Acknowledgements
- Abstract
- Kurzfassung
- Contents
- List of Figures
- List of Tables
- List of Abbreviations
- List of Symbols
- Chapter 1 - Introduction
- Chapter 2 - Wi-Fi Based Localization Techniques
- 2.1 Background and concept of Wi-Fi based localization
- 2.2 Wi-Fi localization using radio propagation model
- 2.3 Wi-Fi localization using RSS fingerprinting
- 2.4 Field experiment and numerical results
- 2.5 Summary
- Chapter 3 - Indoor Vehicle Navigation Using Enhanced INS/Wi-Fi Integration
- 3.1 System modelling for INS/Wi-Fi integration
- 3.2 Enhancements using adaptive Kalman filtering and vehicle constraints
- 3.3 Field experiment and results
- 3.4 Summary
- Chapter 4 - Adapted Indoor Pedestrian Navigation Using PDR/Wi-Fi Integration
- 4.1 IMU based foot-mounted pedestrian dead reckoning
- 4.2 Adapted pedestrian dead reckoning with portable devices
- 4.3 Field experiment and results
- 4.4 Summary
- Chapter 5 - Indoor Attitude Estimation Using INS/Visual-Gyroscope Integration
- 5.1 Projective geometry and vanishing point detection
- 5.2 DCM based INS/visual-gyro integration
- 5.3 Field experiments
- 5.4 Summary
- Chapter 6 - Summary and Conclusions
- Appendix A - Artificial Neural Networks
- Appendix B - Support vector machine
- Appendix C - Unscented Kalman Filtering
- Bibliography