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

    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

    Keywords

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

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  • Cite this

    Mata, M., Armingol, J. M., de la Escalera, A., & Rodriguez, F. J. (2003). A deformable model-based visual system for mobile robot topologic navigation. In 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Vol. 3, pp. 3504-3509). IEEE. https://doi.org/10.1109/IROS.2003.1249698