This work focuses on drones or UAVs (Unmanned Aerial Vehicles) for use in industry in general. These vehicles have a large number of uses and potential in the industry, as a tool for civil engineering, medicine, mining, among others. However, this vehicle is limited for use indoors due to the need for GPS and it does not work indoors. In this way, this work presents a UAV that works without GPS, thus being able to be used in closed spaces for example and have good precision. The work is based on an approach that uses computer vision and GPS.
@article{arxiv.2210.11199,
title = {Drones e Inteligencia Artificial para Investigaci\'on y Competici\'on},
author = {Victoria Saravia and William Moraes and André Kelbouscas and Ricardo Grando},
journal= {arXiv preprint arXiv:2210.11199},
year = {2022}
}
Comments
in Spanish language. Articulo aceptado en la FEBITEC 2022