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
4 - Nonlinear Non-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
![Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'](https://static.cambridge.org/content/id/urn%3Acambridge.org%3Aid%3Abook%3A9781316671528/resource/name/firstPage-9781316671528c4_p88-144_CBO.jpg)
- Type
- Chapter
- Information
- State Estimation for Robotics , pp. 88 - 144Publisher: Cambridge University PressPrint publication year: 2017