Drones e Inteligencia Artificial para Investigaci\'on y Competici\'on
Victoria Saravia, William Moraes, Andr\'e Kelbouscas, Ricardo Grando

TL;DR
This paper presents a GPS-free UAV that utilizes computer vision and GPS data to operate accurately indoors, expanding drone applications in confined environments.
Contribution
It introduces a novel UAV system capable of indoor operation without GPS, combining computer vision with GPS data for precise navigation.
Findings
Successful indoor navigation without GPS
High precision in confined spaces
Potential applications in civil engineering and medicine
Abstract
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.
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Taxonomy
TopicsEnvironmental and Ecological Studies · Water Resource Management and Quality · Business, Innovation, and Economy
