Hybrid semantic mapping using door information

Joong Tae Park, Jae Bok Song

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

    3 Citations (Scopus)

    Abstract

    We describe hybrid semantic mapping method with classified area information for home environments. The hybrid map contains two map types: a grid map, and a classified area information-in-grid (CAIG) map. The grid and CAIG maps can be used for intelligent navigation (e.g., localization and path planning) and motion selection, respectively. In home environments, a door can be used to divide an area into various sections such as a room or a kitchen. Therefore, we use a grid map of the home environment and door information as main clues to classify the area and to build the hybrid map. The proposed method is verified by various experiments. We show that the robot can build a hybrid semantic map autonomously in home environments.

    Original languageEnglish
    Title of host publicationURAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence
    Pages128-130
    Number of pages3
    DOIs
    Publication statusPublished - 2011
    Event2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011 - Incheon, Korea, Republic of
    Duration: 2011 Nov 232011 Nov 26

    Publication series

    NameURAI 2011 - 2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence

    Other

    Other2011 8th International Conference on Ubiquitous Robots and Ambient Intelligence, URAI 2011
    Country/TerritoryKorea, Republic of
    CityIncheon
    Period11/11/2311/11/26

    Keywords

    • Area classification
    • grid map
    • hybrid map
    • mobile robot
    • semantic map

    ASJC Scopus subject areas

    • Artificial Intelligence
    • Computer Networks and Communications

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