Book contents
- Frontmatter
- Contents
- Preface
- Acronyms and Abbreviations
- Notation
- 1 Introduction
- Part I Estimation Machinery
- 2 Primer on Probability Theory
- 3 Linear-Gaussian Estimation
- 4 Nonlinear Non-Gaussian Estimation
- 5 Biases, Correspondences, and Outliers
- Part II Three-Dimensional Machinery
- Part III Applications
- References
- Index
3 - Linear-Gaussian Estimation
from Part I - Estimation Machinery
Published online by Cambridge University Press: 09 August 2017
- Frontmatter
- Contents
- Preface
- Acronyms and Abbreviations
- Notation
- 1 Introduction
- Part I Estimation Machinery
- 2 Primer on Probability Theory
- 3 Linear-Gaussian Estimation
- 4 Nonlinear Non-Gaussian Estimation
- 5 Biases, Correspondences, and Outliers
- Part II Three-Dimensional Machinery
- Part III Applications
- References
- Index
Summary
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- Type
- Chapter
- Information
- State Estimation for Robotics , pp. 35 - 87Publisher: Cambridge University PressPrint publication year: 2017
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