Breve revisión sobre inventario automatizado de señalética con drones
DOI:
https://doi.org/10.17979/ja-cea.2024.45.10907Palabras clave:
Inventario automatizado, Señalización vial, Drones, Inteligencia artificial, Lidar, Gestión urbana, Seguridad vialResumen
Este artículo presenta una breve revisión sobre la generación automatizada de inventarios de señalización vial mediante drones y aprendizaje profundo, utilizando la metodología PRISMA. Se analizaron 30 artículos de bases de datos académicas como Google Scholar, Science Direct y Web of Science. Los estudios revisados destacan las ventajas del uso de drones para la captura de imágenes y datos Lidar, así como la aplicación de algoritmos de inteligencia artificial para el procesamiento y análisis de datos. La literatura muestra que estas tecnologías permiten una gestión más eficiente y precisa de la señalización vial, mejorando la seguridad y la planificación urbana. También se identifican desafíos y futuras líneas de investigación, como la integración de diferentes tipos de sensores y el desarrollo de modelos más robustos para la detección y clasificación de señalización.
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Derechos de autor 2024 Geovanny Satama Bermeo, Daniel Caballero Martín, Hicham Affou, Josean Ramos-Hernanz, Iñigo Aramendia, Jose Lopez Guede
Esta obra está bajo una licencia internacional Creative Commons Atribución-NoComercial-CompartirIgual 4.0.
