A deformable model-based visual system for mobile robot topologic navigation

M. Mata, J. M. Armingol, A. de la Escalera, F. J. Rodriguez

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    1 Citation (Scopus)

    Abstract

    Deformable models have been intensively studied in image analysis through the last decade, and are used for detection and recognition of flexible or rigid templates under diverse viewing conditions. Genetic algorithm (GA) based deformable models are used for generic visual landmark detection and interpretation. The developed system allows topologic localization and navigation using natural and artificial landmarks, exploiting deformable models' ability for handling landmark perspective variations. The resulting perception module has been integrated successfully in a complex navigation system. Various experimental results in real environments are presented on this paper, showing the effectiveness and capacity of the landmark detection and reading system.
    Original languageEnglish
    Title of host publication2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003)
    PublisherIEEE
    Pages3504-3509
    Number of pages6
    Volume3
    ISBN (Print)0780378601
    DOIs
    Publication statusPublished - 2003
    Event2003 IEEE/RSJ International Conference on Intelligent Robots and Systems - Las Vegas, United States
    Duration: 27 Oct 200331 Oct 2003
    https://ieeexplore.ieee.org/document/1249176

    Conference

    Conference2003 IEEE/RSJ International Conference on Intelligent Robots and Systems
    Abbreviated titleIROS 2003
    Country/TerritoryUnited States
    CityLas Vegas
    Period27/10/0331/10/03
    Internet address

    Keywords

    • tactile sensors
    • learning control systems
    • tracking
    • multisensor systems
    • neurocontrollers
    • fuzzy control
    • mechatronics
    • motion control
    • robots

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