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1 - Introduction

Published online by Cambridge University Press:  11 January 2024

Timothy D. Barfoot
Affiliation:
University of Toronto
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Summary

This chapter opens with a brief history of estimation from astronomy, navigation at sea, and space exploration. It defines the problem of estimation and gives some modern sensor fusion examples. A description of how the book is organized and how to read it is provided. The book is compared to other great volumes on estimation and robotics in order to understand how it fits into the larger landscape.

Type
Chapter
Information
State Estimation for Robotics
Second Edition
, pp. 1 - 6
Publisher: Cambridge University Press
Print publication year: 2024

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  • Introduction
  • Timothy D. Barfoot, University of Toronto
  • Book: State Estimation for Robotics
  • Online publication: 11 January 2024
  • Chapter DOI: https://doi.org/10.1017/9781009299909.002
Available formats
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Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

  • Introduction
  • Timothy D. Barfoot, University of Toronto
  • Book: State Estimation for Robotics
  • Online publication: 11 January 2024
  • Chapter DOI: https://doi.org/10.1017/9781009299909.002
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Introduction
  • Timothy D. Barfoot, University of Toronto
  • Book: State Estimation for Robotics
  • Online publication: 11 January 2024
  • Chapter DOI: https://doi.org/10.1017/9781009299909.002
Available formats
×