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    Wall and Object Detection with FRI and Bayes-Classifier for Autonomous Robot

    Wall and Object Detection with FRI and Bayes-Classifier for Autonomous Robot


    Abstract To detecting the nearly objects and walls is very important for a mobile robot or an autonomous vehicle to collision avoidance. It needs many of sensors for wide range detection. The results are better with more type of sensors for example infrared sensors, ultrasonic sensors, laser distance sensors. Because of the number of sensors it needed to use sensor fusion. It is a relatively easy way by using the FRI based Behaviour Description Language or the Bayes-classifier.

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    Titel :

    Wall and Object Detection with FRI and Bayes-Classifier for Autonomous Robot

    Beteiligte:
    Bartók, Roland (Autor:in) / Bouzid, Ahmed (Autor:in) / Vásárhelyi, József (Autor:in) / Kiss, Márton L. (Autor:in)
    Erschienen in:

    Vehicle and Automotive Engineering ; 383-389

    Lecture Notes in Mechanical Engineering

    Erscheinungsdatum :

    2017-01-01

    Format / Umfang :

    7 pages

    ISBN :

    978-3-319-51189-4 , 978-3-319-51188-7

    ISSN :

    2195-4364 , 2195-4356

    DOI :

    https://doi.org/10.1007/978-3-319-51189-4_34

    Medientyp :

    Aufsatz/Kapitel (Buch)

    Format :

    Elektronische Ressource

    Sprache :

    Englisch

    Schlagwörter :

    Engineering , Automotive Engineering , Metallic Materials

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