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arXiv · 2211.08190

Reconocimiento de Objetos a partir de Nube de Puntos en un Ve\'iculo A\'ereo no Tripulado

Agustina Marion de Freitas Vidal·Anthony Rodriguez·Richard Suarez·André Kelbouscas·Ricardo Grando
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Abstract

Currently, research in robotics, artificial intelligence and drones are advancing exponentially, they are directly or indirectly related to various areas of the economy, from agriculture to industry. With this context, this project covers these topics guiding them, seeking to provide a framework that is capable of helping to develop new future researchers. For this, we use an aerial vehicle that works autonomously and is capable of mapping the scenario and providing useful information to the end user. This occurs from a communication between a simple programming language (Scratch) and one of the most important and efficient robot operating systems today (ROS). This is how we managed to develop a tool capable of generating a 3D map and detecting objects using the camera attached to the drone. Although this tool can be used in the advanced fields of industry, it is also an important advance for the research sector. The implementation of this tool in intermediate-level institutions is aspired to provide the ability to carry out high-level projects from a simple programming language.

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Agustina Marion de Freitas Vidal, Anthony Rodriguez, Richard Suarez, André Kelbouscas, Ricardo Grando. 2022-10-23. Reconocimiento de Objetos a partir de Nube de Puntos en un Ve\'iculo A\'ereo no Tripulado. https://arxiv.org/abs/2211.08190

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