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Semantic Localization through Propagation of Scene Information in a Hierarchical Model

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F19%3A00334776" target="_blank" >RIV/68407700:21230/19:00334776 - isvavai.cz</a>

  • Alternative codes found

    RIV/68407700:21730/19:00334776

  • Result on the web

    <a href="https://doi.org/10.1109/ECMR.2019.8870972" target="_blank" >https://doi.org/10.1109/ECMR.2019.8870972</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1109/ECMR.2019.8870972" target="_blank" >10.1109/ECMR.2019.8870972</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Semantic Localization through Propagation of Scene Information in a Hierarchical Model

  • Original language description

    The success of mobile robots, and particularly these coexisting with humans, relies on the ability to understand human environments. Representing the world and analysing spaces in a similar way to humans will enhance their comprehension and enable higher abstraction capabilities and interactions. The purpose of this work is to develop a localization framework that takes into account the different scenes common in a human environment and a hierarchical model of the environment. A probabilistic model for recognizing scenes is employed to determine the scene in which the robot is located. To allow that, the information about the objects and the relationships between them are considered. Besides that, a hierarchical model formed by different topological representations according to different levels of abstraction is proposed. Localization is performed at different levels to improve the localization accuracy. In this work, scene information is used to improve the localization of a mobile robot in a hierarchical model using hidden Markov models. The experiments of our framework working in real environments uphold the usefulness of the inclusion of the understanding and abstraction of the environment in localization.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20204 - Robotics and automatic control

Result continuities

  • Project

    <a href="/en/project/EF15_003%2F0000470" target="_blank" >EF15_003/0000470: Robotics 4 Industry 4.0</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of European Conference on Mobile Robots

  • ISBN

    978-1-7281-3605-9

  • ISSN

  • e-ISSN

  • Number of pages

    6

  • Pages from-to

  • Publisher name

    Czech Technical University

  • Place of publication

    Prague

  • Event location

    Prague

  • Event date

    Aug 4, 2019

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000558081900067