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Chapter 9 - Localization and Mapping

Published online by Cambridge University Press:  05 June 2014

Alonzo Kelly
Affiliation:
Carnegie Mellon University, Pennsylvania
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Summary

Perception and localization often depend on each other. When building a map, a model of the environment is being constructed and perception and localization cooperate in order to put pieces of the map in the right place relative to each other. When using a map to localize, the robot is determining its location based on matching what it sees to what it expects to see and, in this case, localization depends on perception. More sophisticated approaches can construct a map and localize from it at the same time.

This section will present many aspects of both making and using maps of the environment. Many mobile robots need some kind of map in order to function effectively. Maps are needed when accurate absolute pose is needed. Accurate pose is needed when the robot is told to go to the coordinates of a specific place or when the robot wants to use information of any kind that is located by its position in a second map.

If localization is imperfect, it may be advisable to register data generated at different times and places. This is a more fundamental operation than either localization or mapping. It achieves both the goal of making the map consistent and the goal of refining the estimate of the intervening motion. For this reason, all three topics of mapping, registration, and ego-motion are presented together here.

Type
Chapter
Information
Mobile Robotics
Mathematics, Models, and Methods
, pp. 579 - 639
Publisher: Cambridge University Press
Print publication year: 2013

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  • Localization and Mapping
  • Alonzo Kelly, Carnegie Mellon University, Pennsylvania
  • Book: Mobile Robotics
  • Online publication: 05 June 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9781139381284.010
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  • Localization and Mapping
  • Alonzo Kelly, Carnegie Mellon University, Pennsylvania
  • Book: Mobile Robotics
  • Online publication: 05 June 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9781139381284.010
Available formats
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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.

  • Localization and Mapping
  • Alonzo Kelly, Carnegie Mellon University, Pennsylvania
  • Book: Mobile Robotics
  • Online publication: 05 June 2014
  • Chapter DOI: https://doi.org/10.1017/CBO9781139381284.010
Available formats
×