Adaptive depth estimation in image based visual servo control of dynamic systems

Robert Mahony*, Arved Von Brasch, Peter Corke, Tarek Hamel

*Corresponding author for this work

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    8 Citations (Scopus)

    Abstract

    This paper considers the question of designing a fully image based visual servo control for a dynamic system. The work is motivated by the ongoing development of image based visual servo control of small aerial robotic vehicles. The observed targets considered are coloured blobs on a flat surface to which the normal direction is known. The theoretical framework is directly applicable to the case of markings on a horizontal floor or landing field. The image features used are a first order spherical moment for position and an image flow measurement for velocity. A fully non-linear adaptive control design is provided that ensures global stability of the closed-loop system.

    Original languageEnglish
    Title of host publicationProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
    Pages5372-5378
    Number of pages7
    DOIs
    Publication statusPublished - 2005
    Event44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05 - Seville, Spain
    Duration: 12 Dec 200515 Dec 2005

    Publication series

    NameProceedings of the 44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
    Volume2005

    Conference

    Conference44th IEEE Conference on Decision and Control, and the European Control Conference, CDC-ECC '05
    Country/TerritorySpain
    CitySeville
    Period12/12/0515/12/05

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