日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

物体認識arXiv:2211.08190

ドローンによる点群からの物体認識

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

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ScratchとROSを連携させ、ドローン搭載カメラで3Dマップ生成と物体検出を行うツールを開発した。

著者: Agustina Marion de Freitas Vidal, Anthony Rodriguez, Richard Suarez, André Kelbouscas, Ricardo Grando

分類: cs.RO

原文アブストラクト

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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