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Image-Based Estimation for Robotics and Autonomous Systems

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Encyclopedia of Systems and Control

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Abstract

This entry discusses methods to estimate the structure of the objects/scene observed using a series of moving camera images. To recover the structure, it is sufficient to estimate the depth of the feature points on the object. To this end, two observer-based depth estimation methods are presented. The first method is a concurrent learning-based observer for estimating the depth of the static feature points and the second method is an unknown input observer for estimating the depth of the moving feature points.

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Author information

Authors and Affiliations

  1. Electrical and Computer Engineering, University of Connecticut, Storrs, CT, USA

    A. P. Dani

Authors
  1. A. P. Dani
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Corresponding author

Correspondence to A. P. Dani .

Editor information

Editors and Affiliations

  1. Electrical and Computer Engineering, Boston University, Boston, MA, USA

    John Baillieul

  2. Automation and Control Solutions, Honeywell, Golden Valley, MN, USA

    Tariq Samad

Section Editor information

  1. Dept. of Mechanical and AeroMechanical and Aerospace Engineering, University of Florida, Room 334, MAE-B, Gainesville, FL, USA

    Warren Dixon

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Dani, A.P. (2020). Image-Based Estimation for Robotics and Autonomous Systems. In: Baillieul, J., Samad, T. (eds) Encyclopedia of Systems and Control. Springer, London. https://doi.org/10.1007/978-1-4471-5102-9_100151-1

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  • DOI: https://doi.org/10.1007/978-1-4471-5102-9_100151-1

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  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5102-9

  • Online ISBN: 978-1-4471-5102-9

  • eBook Packages: Springer Reference EngineeringReference Module Computer Science and Engineering

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