Autonomous flight and computer vision system for a quadcopter in ROS 2
A software in the loop framework is proposed and implemented, focused on the simulation of a gate detection algorithm via computer vision, based on morphological operations for color segmentation, and a flight mission algorithm with trajectory tracking via waypoints, for a virtual autonomous quadcop...
| Autores: | , |
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| Tipo de recurso: | artículo |
| Estado: | Versión publicada |
| Fecha de publicación: | 2022 |
| País: | México |
| Institución: | UNIVERSIDAD AUTÓNOMA DEL ESTADO DE HIDALGO |
| Repositorio: | PÄDI Boletín Científico de Ciencias Básicas e Ingeniería del ICBI |
| Idioma: | español |
| OAI Identifier: | oai:repository.uaeh.edu.mx:article/9021 |
| Acceso en línea: | https://repository.uaeh.edu.mx/revistas/index.php/icbi/article/view/9021 |
| Access Level: | acceso abierto |
| Palabra clave: | computer vision flight mission waypoints software in the loop quadcopter visión artificial misión de vuelo cuadricóptero |
| Sumario: | A software in the loop framework is proposed and implemented, focused on the simulation of a gate detection algorithm via computer vision, based on morphological operations for color segmentation, and a flight mission algorithm with trajectory tracking via waypoints, for a virtual autonomous quadcopter. In addition, a state-of-the-art open-source software set is integrated to validate the operation of the proposed algorithms within a flight circuit developed in a 3D simulation environment. It is observed that the performance of the artificial vision algorithm is acceptable under ideal conditions and at short distances, and that the quadcopter is capable of completing the flight circuit using the proposed methodology for trajectory management. |
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