The purpose is to create elementary drone surveillance system for safety and security. They become predominant in the time of wars. The aerial surveillance proves to be very promising when wide areas are considered. It provides visual imagery or video of the site. These unmanned aerial vehicles (UAVs) help in safety and security of site and people at public places and military bases. Most drones just provide live video feed through cameras attached to them. It is unable to identify the objects present at the site. Drones also need to be automatic in conditions where remotely controlling the drone is not possible. The drone needs to reach the starting position in these conditions using the shortest path while avoiding obstacles. The drone needs to have an OS of its own during these conditions. It needs to maneuver itself to a safe location. The You Only Look Once—version 3 (YOLOv3) algorithm helps in fast processing of video frames and hence is being widely used for real-time purposes.


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    Titel :

    Implementation of ROS in Drones for Animate and Inanimate Object Detection


    Weitere Titelangaben:

    Algorithms for Intelligent Systems


    Beteiligte:
    Vasudevan, Hari (Herausgeber:in) / Michalas, Antonis (Herausgeber:in) / Shekokar, Narendra (Herausgeber:in) / Narvekar, Meera (Herausgeber:in) / Sankhe, Chinmay (Autor:in) / Ahuja, Bhavesh (Autor:in) / Coutinho, Austin (Autor:in) / Bhangale, Chandan (Autor:in) / Giri, Nupur (Autor:in)


    Erscheinungsdatum :

    07.05.2020


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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