Implementación de un sistema de seguimiento de trayectorias basado en visión artificial para el mini dron Parrot Mambo.
This thesis focuses on the design and development of a trajectory tracking system using computer vision for the Mini Drone Parrot Mambo, implemented in Simulink. The developed algorithm demonstrated a response time approximately 10 seconds faster in simulations compared to experimental tests on trac...
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| Autores principales: | , |
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| Otros Autores: | |
| Formato: | Tesis/Trabajo de grado - Monografía - Pregrado |
| Lenguaje: | Español |
| Publicado: |
Universidad Antonio Nariño
2024
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| Materias: | |
| Acceso en línea: | https://repositorio.uan.edu.co/handle/123456789/11773 |
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| Sumario: | This thesis focuses on the design and development of a trajectory tracking system using
computer vision for the Mini Drone Parrot Mambo, implemented in Simulink. The
developed algorithm demonstrated a response time approximately 10 seconds faster in
simulations compared to experimental tests on tracks 1 and 2. However, significant
limitations were identified, such as difficulties adapting to rapid environmental changes,
decreased precision under low lighting conditions, and a battery life limited to 6 minutes,
which particularly affected tests on track 3. Despite these limitations, all three tracks were
successfully completed. These results confirm the feasibility of using computer vision for
trajectory tracking, highlighting the need to improve the algorithm to overcome these
limitations and ensure more robust performance in future applications. |
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