This paper focuses on a surveillance mission performed by an autonomous mobile robot in an environment. In this mission, by using flexibility and monitoring function, the Robert is expected to detect as many intruders as possible. However, the robot does not know where and how many environmental intruders are present without the data, estimating an intrusion pattern and detecting unknown intruders is impossible for the robot. By proposing a novel surveillance method this challenges in order to estimate intrusion trend for the robot. For this purpose, Bayes’ rule is basically used. This probabilistic approach allows the robot to express the intruders through existing probability and appearance frequency. The robot is mainly enabled to monitor the places with the intrusion trend in addition to the minor places. Through simulation experiments, the effectiveness of the proposed method for the unknown intruders is shown. Furthermore, an adaptability of the robot based on the probabilistic approach to various kinds of intrusion trends is analyzed.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Surveillance Robot Capturing Intruder Using PIR Sensor


    Beteiligte:
    Vidhya S (Autor:in) / Dharani S (Autor:in) / Ajith Kumar S (Autor:in)

    Erscheinungsdatum :

    2019-12-16


    Anmerkungen:

    oai:zenodo.org:3576712
    Journal of Remote Sensing GIS & Technology 5(3) 36-40



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629




    METHOD AND SYSTEM FOR CAPTURING AN INTRUDER IN-FLIGHT

    FRUCHT YAACOV | Europäisches Patentamt | 2018

    Freier Zugriff


    Buried cable sensor with intruder location

    Cheal, J. / O'Brien, S. / Tutor, M. | IEEE | 2005


    Buried Cable Sensor with Intruder Location

    Cheal, J. | Online Contents | 2005


    Multi-intruder, multi-sensor tracking system

    Bageshwar, Vibhor / Euteneuer, Eric / Kundak, Nuri | IEEE | 2015