Disaster response refers to the operations that must be carried out during and/or after a disaster, to safeguard people along with property. These dangers could be outdoors or indoors. 3D mapping provides extensive information, such as the site of a disaster, and aids in quick mitigation response. Mapping a region depends on parameters like an environment’s area and the available resources. This paper demonstrates the relationship between the number of rooms and the number of unmanned aerial vehicles (UAVs) used to map an indoor area along with the overall time required to explore and compute it. The computational resources used include the OctoMap Library and the Frontier exploration algorithm. It was observed that increasing the number of UAVs subsequently to map an environment reduced the simulation time, only when the number of UAVs mapping the environment was less than or equal to the number of rooms in the environment.


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    Titel :

    3D Mapping Using Multi-agent Systems


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Sharma, Sanjay (Herausgeber:in) / Subudhi, Bidyadhar (Herausgeber:in) / Sahu, Umesh Kumar (Herausgeber:in) / Jogeshwar, Bhaavin K. (Autor:in) / HomChaudhuri, Baisravan (Autor:in) / Kappagantula, Sivayazi (Autor:in)

    Kongress:

    International Conference on Robotics, Control, Automation and Artificial Intelligence ; 2022 November 24, 2022 - November 26, 2022



    Erscheinungsdatum :

    2023-11-18


    Format / Umfang :

    13 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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