Vehicle crashes have become a major worry for the safety of the passengers since humans began travelling long distances on wheels. The automotive industry has existed for a very long time and has developed ever since, whether it's through the development of features like in-vehicle assistance, self-driving cars, or Internet of Things connections that help cars communicate with one another and greatly reduce the likelihood of vehicle collisions. This paper aims to present a system to avoid vehicular collision during lane change using technologies like GPS and GSM for locating the vehicle, IoT for connecting vehicles to share data, raspberry pi camera for capturing video, and Arduino to analyze the video frame by frame and alert the vehicle operator for a safer drive.


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    Titel :

    Vehicle Collision Avoidance System During Lane Change using Internet-of-Things


    Beteiligte:


    Erscheinungsdatum :

    2023-01-05


    Format / Umfang :

    4053761 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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