This paper describes about the development and conversion of a mobility vehicle into an autonomous mobility vehicle using image processing, ultrasonic and infrared sensors, relays etc. The paper focuses on the rebuilding of the vehicle, interfacing the various sensors and the image processing module to work in sync with the vehicle to cause the vehicle to navigate autonomously on lanes dedicated for pedestrians without collision. The rebuilding phase involves a lot of the mechanical work done on the vehicle which includes turning the vehicle from scrap to working condition and converting the manual steering into an automatic steering by installing a motor for the same. The image processing bit involves lane detection algorithms to actuate the vehicle and pedestrian detection algorithms using YOLO object detection which involves machine learning. The paper also describes the use of a line following system in custom designed navigation lines specifically only for indoor environments where there are no lanes.


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    Titel :

    Autonomous Mobility Vehicle


    Beteiligte:


    Erscheinungsdatum :

    01.09.2020


    Format / Umfang :

    2585644 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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